1
|
Wu X, Wu Y, Tu Z, Cao Z, Xu M, Xiang Y, Lin D, Jin L, Zhao L, Zhang Y, Liu Y, Yan P, Hu W, Liu J, Liu L, Wang X, Wang R, Chen J, Xiao W, Shang Y, Xie P, Wang D, Zhang X, Dongye M, Wang C, Ting DSW, Liu Y, Pan R, Lin H. Cost-effectiveness and cost-utility of a digital technology-driven hierarchical healthcare screening pattern in China. Nat Commun 2024; 15:3650. [PMID: 38688925 PMCID: PMC11061155 DOI: 10.1038/s41467-024-47211-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 03/25/2024] [Indexed: 05/02/2024] Open
Abstract
Utilization of digital technologies for cataract screening in primary care is a potential solution for addressing the dilemma between the growing aging population and unequally distributed resources. Here, we propose a digital technology-driven hierarchical screening (DH screening) pattern implemented in China to promote the equity and accessibility of healthcare. It consists of home-based mobile artificial intelligence (AI) screening, community-based AI diagnosis, and referral to hospitals. We utilize decision-analytic Markov models to evaluate the cost-effectiveness and cost-utility of different cataract screening strategies (no screening, telescreening, AI screening and DH screening). A simulated cohort of 100,000 individuals from age 50 is built through a total of 30 1-year Markov cycles. The primary outcomes are incremental cost-effectiveness ratio and incremental cost-utility ratio. The results show that DH screening dominates no screening, telescreening and AI screening in urban and rural China. Annual DH screening emerges as the most economically effective strategy with 341 (338 to 344) and 1326 (1312 to 1340) years of blindness avoided compared with telescreening, and 37 (35 to 39) and 140 (131 to 148) years compared with AI screening in urban and rural settings, respectively. The findings remain robust across all sensitivity analyses conducted. Here, we report that DH screening is cost-effective in urban and rural China, and the annual screening proves to be the most cost-effective option, providing an economic rationale for policymakers promoting public eye health in low- and middle-income countries.
Collapse
Affiliation(s)
- Xiaohang Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Yuxuan Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Zhenjun Tu
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Zizheng Cao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Miaohong Xu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Yifan Xiang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Duoru Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Ling Jin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Lanqin Zhao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Yingzhe Zhang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Yu Liu
- School of Public Health and Management, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Pisong Yan
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Weiling Hu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Jiali Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Lixue Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Xun Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Ruixin Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Jieying Chen
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wei Xiao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Yuanjun Shang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Peichen Xie
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Dongni Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Xulin Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Meimei Dongye
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Chenxinqi Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China
| | - Daniel Shu Wei Ting
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore
- Duke-National University of Singapore Medical School, Singapore, Singapore
| | - Yizhi Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China.
| | - Rong Pan
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China.
| | - Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Vision Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, Guangdong, China.
- Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou, Hainan, China.
- Center for Precision Medicine and Department of Genetics and Biomedical Informatics, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China.
| |
Collapse
|
2
|
Wang R, Zhang J, He S, Guo H, Li T, Zhong Q, Ma J, Xu J, He K. Design and application of a novel telemedicine system jointly driven by multinetwork integration and remote control: Practical experience from PLAGH, China. Healthc Technol Lett 2023; 10:113-121. [PMID: 38111799 PMCID: PMC10725722 DOI: 10.1049/htl2.12057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 11/15/2023] [Accepted: 11/22/2023] [Indexed: 12/20/2023] Open
Abstract
In China, several problems were common in the telemedicine systems, such as the poor network stability and difficult interconnection. A new telemedicine system jointly driven by multinetwork integration and remote control has been designed to address these problems. A multilink aggregation algorithm and an overlay network for telemedicine system (ONTMS) were developed to improve network stability, and a non-intervention remote control method was designed for Internet of Things (IoT) devices/systems. The authors monitored the network parameters, and distributed the questionnaire to participants, for evaluating the telemedicine system and services. Under a detection bandwidth of 8 Mbps, the aggregation parameters of Unicom 4G, Telecom 4G, and China Mobile 4G were optimal, with an uplink bandwidth, delay, and packet loss ratio (PLR) of 7.93 Mbps, 58.80 ms, and 0.06%, respectively. These parameters were significantly superior to those of China Mobile 4G, the best single network (p < 0.001). Through the ONTMS, the mean round-trip transporting delay from Beijing to Sanya was 76 ms, and the PLR was 0 at vast majority of time. A total of 1988 participants, including 1920 patients and 68 doctors, completed the questionnaires. More than 97% of participants felt that the audio and video transmission and remote control were fluent and convenient. 96% of patients rated the telemedicine services with scores of 4 or 5. This system has shown robust network property and excellent interaction ability, and satisfied the needs of patients and doctors.
Collapse
Affiliation(s)
- Ruiqing Wang
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Jie Zhang
- Medical Engineering DepartmentChinese PLA General HospitalBeijingChina
| | - Shilin He
- Information DepartmentHainan Hospital of Chinese PLA General HospitalBeijingChina
| | - Huayuan Guo
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Tao Li
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Qin Zhong
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| | - Jun Ma
- Beijing HongYun RongTong Technology Co., LtdBeijingChina
| | - Jie Xu
- Beijing HongYun RongTong Technology Co., LtdBeijingChina
| | - Kunlun He
- Medical Big Data Research CenterChinese PLA General HospitalBeijingChina
| |
Collapse
|
3
|
Guardiola Dávila G, López-Fontanet JJ, Ramos F, Acevedo Monsanto MA. Examining Global Crises: Extracting Insights From the COVID-19 Pandemic and Natural Disasters to Develop a Robust Emergency Diabetic Retinopathy Strategy for Puerto Rico. Cureus 2023; 15:e47070. [PMID: 37846348 PMCID: PMC10577004 DOI: 10.7759/cureus.47070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/15/2023] [Indexed: 10/18/2023] Open
Abstract
In this critical analysis, we investigate the profound impact of natural disasters and pandemics on the care and adherence to treating diabetic retinopathy, a severe complication of diabetes requiring continuous monitoring and treatment to prevent vision loss. Our study also sheds light on the social and economic context of Puerto Rico, emphasizing recent emergency events that have exacerbated existing public health challenges. Through a comprehensive review of relevant literature from PubMed, Google Scholar, and the George Washington University Himmelfarb Health Sciences Library database, we identified 31 pertinent articles out of 45 evaluated, focusing on the effects of these crises on healthcare delivery, diabetic retinopathy screening, and treatment. The evidence strongly indicates that during such emergencies, barriers to healthcare escalate, leading to significant treatment delays and a reduction in diabetic retinopathy screening and diagnosis, ultimately resulting in deteriorated visual outcomes. Thus, our review underscores the urgent need for the development of effective emergency plans tailored specifically to diabetic retinopathy, particularly in Puerto Rico, where diabetes prevalence and its complications are notably higher. Such plans should not only incorporate established emergency measures but also harness emerging technological advances in the field of ophthalmology to ensure optimal preparedness for future pandemics and natural disasters.
Collapse
Affiliation(s)
| | - José J López-Fontanet
- Department of Ophthalmology, Medical Sciences Campus, University of Puerto Rico, San Juan, PRI
| | - Fabiola Ramos
- Department of Ophthalmology, Medical Sciences Campus, University of Puerto Rico, San Juan, PRI
| | | |
Collapse
|
4
|
Ye J, He L, Beestrum M. Implications for implementation and adoption of telehealth in developing countries: a systematic review of China's practices and experiences. NPJ Digit Med 2023; 6:174. [PMID: 37723237 PMCID: PMC10507083 DOI: 10.1038/s41746-023-00908-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 08/16/2023] [Indexed: 09/20/2023] Open
Abstract
The rapid advancement of telehealth technologies has the potential to revolutionize healthcare delivery, especially in developing countries and resource-limited settings. Telehealth played a vital role during the COVID-19 pandemic, supporting numerous healthcare services. We conducted a systematic review to gain insights into the characteristics, barriers, and successful experiences in implementing telehealth during the COVID-19 pandemic in China, a representative of the developing countries. We also provide insights for other developing countries that face similar challenges to developing and using telehealth during or after the pandemic. This systematic review was conducted through searching five prominent databases including PubMed/MEDLINE, Embase, Scopus, Cochrane Library, and Web of Science. We included studies clearly defining any use of telehealth services in all aspects of health care during the COVID-19 pandemic in China. We mapped the barriers, successful experiences, and recommendations based on the Consolidated Framework for Implementation Research (CFIR). A total of 32 studies met the inclusion criteria. Successfully implementing and adopting telehealth in China during the pandemic necessitates strategic planning across aspects at society level (increasing public awareness and devising appropriate insurance policies), organizational level (training health care professionals, improving workflows, and decentralizing tasks), and technological level (strategic technological infrastructure development and designing inclusive telehealth systems). WeChat, a widely used social networking platform, was the most common platform used for telehealth services. China's practices in addressing the barriers may provide implications and evidence for other developing countries or low-and middle- income countries (LMICs) to implement and adopt telehealth systems.
Collapse
Affiliation(s)
- Jiancheng Ye
- Weill Cornell Medicine, New York, NY, USA.
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
| | - Lu He
- Zilber College of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
| | - Molly Beestrum
- Galter Health Sciences Library and Learning Center, Northwestern University, Chicago, IL, USA
| |
Collapse
|
5
|
Duong R, Abou-Samra A, Bogaard JD, Shildkrot Y. Asteroid Hyalosis: An Update on Prevalence, Risk Factors, Emerging Clinical Impact and Management Strategies. Clin Ophthalmol 2023; 17:1739-1754. [PMID: 37361691 PMCID: PMC10290459 DOI: 10.2147/opth.s389111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 06/12/2023] [Indexed: 06/28/2023] Open
Abstract
Asteroid hyalosis (AH) is a benign clinical entity characterized by the presence of multiple refractile spherical calcium and phospholipids within the vitreous body. First described by Benson in 1894, this entity has been well documented in the clinical literature and is named due to the resemblance of asteroid bodies on clinical examination to a starry night sky. Today, a growing body of epidemiologic data estimates the global prevalence of asteroid hyalosis to be around 1%, and there is a strong established association between AH and older age. While pathophysiology remains unclear, a variety of systemic and ocular risk factors for AH have recently been suggested in the literature and may provide insight into possible mechanisms for asteroid body (AB) development. As vision is rarely affected, clinical management is focused on differentiation of asteroid hyalosis from mimicking conditions, evaluation of the underlying retina for other pathology and consideration of vitrectomy in rare cases with visual impairment. Taking into account the recent technologic advances in large-scale medical databases, improving imaging modalities, and the popularity of telemedicine, this review summarizes the growing body of literature of AH epidemiology and pathophysiology and provides updates on the clinical diagnosis and management of AH.
Collapse
Affiliation(s)
- Ryan Duong
- Department of Ophthalmology, University of Virginia, Charlottesville, VA, USA
| | - Abdullah Abou-Samra
- Department of Ophthalmology, University of Virginia, Charlottesville, VA, USA
| | - Joseph D Bogaard
- Department of Ophthalmology, University of Virginia, Charlottesville, VA, USA
| | - Yevgeniy Shildkrot
- RetinaCare of Virginia, Augusta Eye Associates PLC, Fishersville, VA, USA
- Virginia Commonwealth University, Richmond, VA, USA
| |
Collapse
|
6
|
[Position Paper and Recommendations for Action for Ecologically Sustainable Ophthalmology - Statement of the German Society of Ophthalmology (DOG) and the German Professional Association of Ophthalmologists (BVA)]. Klin Monbl Augenheilkd 2023; 240:198-217. [PMID: 36812927 DOI: 10.1055/a-2015-1562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
|
7
|
[Position paper and recommendations for action for ecologically sustainable ophthalmology : Statement of the German Society of Ophthalmology (DOG) and the German Professional Association of Ophthalmologists (BVA)]. DIE OPHTHALMOLOGIE 2023; 120:52-68. [PMID: 36625883 PMCID: PMC9838365 DOI: 10.1007/s00347-022-01792-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
|
8
|
Prasad D, Kudva V, Singh A, Hegde RB, Rukmini PG. Role of 5G Networks in Healthcare Management System. Crit Rev Biomed Eng 2023; 51:1-25. [PMID: 37602445 DOI: 10.1615/critrevbiomedeng.2023047013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023]
Abstract
The present-day healthcare system operates on a 4G network, where the data rate needed for many IoT devices is impossible. Also, the latency involved in the network does not support the use of many devices in the network. The 5G-based cellular technology promises an effective healthcare management system with high speed and low latency. The 5G communication technology will replace the 4G technology to satisfy the increasing demand for high data rates. It incorporates higher frequency bands of around 100 MHz using millimetre waves and broadband modulation schemes. It is aimed at providing low latency while supporting real-time machine-to-machine communication. It requires a more significant number of antennas, with an average base station density three times higher than 4G. However, the rise in circuit and processing power for multiple antennas and transceivers deteriorates energy efficiency. Also, the data transmission power for 5G is three times higher than for 4G technology. One of the advanced processors used in today's mobile equipment is NVIDIA Tegra, which has a multicore system on chip (SoC) architecture with two ARM Cortex CPU cores to handle audio, images, and video. The state-of-the-art software coding using JAVA or Python has achieved smooth data transmission from mobile equipment, desktop or laptop through the internet with the support of 5G communication technology. This paper discusses some key areas related to 5G-based healthcare systems such as the architecture, antenna designs, power consumption, file protocols, security, and health implications of 5G networks.
Collapse
Affiliation(s)
- Durga Prasad
- NITTE (Deemed to be University), Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte - 574110, Karnataka, India
| | - Vidya Kudva
- NITTE (Deemed to be University), Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte - 574110, Karnataka, India
| | - Ashish Singh
- NITTE (Deemed to be University), Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte - 574110, Karnataka, India
| | - Roopa B Hegde
- NITTE (Deemed to be University), Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte - 574110, Karnataka, India
| | - Pradyumna Gopalakrishna Rukmini
- NITTE (Deemed to be University), Department of Electronics and Communication Engineering, NMAM Institute of Technology, Nitte - 574110, Karnataka, India
| |
Collapse
|
9
|
Li J, Jiao W, Yuan H, Feng W, Ding X, Yin X, Zhang L, Lv W, Ma L, Sun L, Feng R, Qin J, Zhang X, Gou C, Wang S, Yu Z, Wei B, Luo L, Xie F, Chang Y, Wang Y, Giulianotti PC, Dong Q, Niu H. Telerobot-assisted laparoscopic adrenalectomy: feasibility study. Br J Surg 2022; 110:6-9. [PMID: 35997257 DOI: 10.1093/bjs/znac279] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 07/13/2022] [Accepted: 07/17/2022] [Indexed: 12/31/2022]
Affiliation(s)
- Jianmin Li
- Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China
| | - Wei Jiao
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hang Yuan
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Wei Feng
- Department of Anaesthesiology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xuemei Ding
- Department of Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xulong Yin
- Department of Urology, Pingyi County Hospital of Traditional Chinese Medicine, Linyi, China
| | - Liangjun Zhang
- Department of Surgery, Zhucheng Hospital of Traditional Chinese Medicine, Zhucheng, China
| | - Wei Lv
- Department of Urology, Fei County People's Hospital, Linyi, China
| | - Lufei Ma
- Department of Urology, Juxian People's Hospital, Rizhao, China
| | - Liguo Sun
- Department of Urology, Juxian People's Hospital, Rizhao, China
| | - Run Feng
- Department of Urology, Zibo Municipal Hospital, Zibo, China
| | - Jun Qin
- Department of Urology, Yinan People's Hospital, Linyi, China
| | - Xuefeng Zhang
- Department of Urology, Weihai Central Hospital, Weihai, China
| | - Chengyi Gou
- Department of Urology, Dingxi People's Hospital, Dingxi, China
| | - Shuxin Wang
- Key Laboratory for Mechanism Theory and Equipment Design of Ministry of Education, Tianjin University, Tianjin, China
| | - Zongyi Yu
- Department of Information Management, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bin Wei
- Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Lei Luo
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Fei Xie
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Yuan Chang
- Shandong Development and Reform Commission, Jinan, China
| | - Yonghua Wang
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Pier C Giulianotti
- Department of Surgery, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Qian Dong
- Department of Paediatric Surgery, Affiliated Hospital of Qingdao University, Qingdao, China
| | - Haitao Niu
- Department of Urology, Affiliated Hospital of Qingdao University, Qingdao, China
| |
Collapse
|
10
|
Zhang T, Chen Y, Jiang X, He C, Pan J, Zhou W, Hu J, Liao Z, Li Z. 5G-based remote magnetically controlled capsule endoscopy for examination of the stomach and small bowel. United European Gastroenterol J 2022; 11:42-50. [PMID: 36416805 PMCID: PMC9892422 DOI: 10.1002/ueg2.12339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Accepted: 10/13/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND AIMS Remote endoscopy can improve diagnostic efficiency of gastrointestinal (GI) diseases for patients in remote areas. A novel remote magnetically controlled capsule endoscopy (MCE) system based on a 5G network was developed for real-time remote GI examinations. We aimed to evaluate the feasibility and safety of the 5G-based remote MCE for examination of the stomach and small bowel. METHODS This was a prospective, nonrandomized, comparative study. Consecutive participants enrolled in the First People's Hospital of Yinchuan underwent remote MCE examinations performed by an endoscopist located in Changhai Hospital. Consecutive participants enrolled in Changhai Hospital underwent conventional MCE examinations performed by the same endoscopist. The main outcomes included the complete visualization rate of the stomach and small bowel, safety assessment and network latency time of remote MCE examinations. RESULTS From March 2021 to June 2021, 20 participants in each group were enrolled. The complete visualization rate of the stomach and small bowel was 100% in both groups (p > 0.999) without any adverse event. The median network latency time of remote MCE group was 19.948 ms. Gastric examination time (8.96 vs. 8.92 min, p = 0.234), maneuverability (15.00 vs. 15.00, p = 0.317), image quality (1.00 vs. 1.00, p > 0.999) and diagnostic yields in the stomach and small bowel (55% vs. 30%, 5% vs. 0%, both p > 0.05) were comparable between remote and conventional MCE groups. All participants in remote MCE group considered remote MCE acceptable and necessary. CONCLUSIONS 5G-based remote MCE was a feasible and safe method for viewing the stomach and small bowel.
Collapse
Affiliation(s)
- Ting Zhang
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Yi‐Zhi Chen
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Xi Jiang
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Chen He
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Jun Pan
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Wei Zhou
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Jian‐Ping Hu
- Department of GastroenterologyThe First People's Hospital of YinchuanYinchuanNingxiaChina
| | - Zhuan Liao
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| | - Zhao‐Shen Li
- National Clinical Research Center for Digestive DiseasesDepartment of GastroenterologyChanghai HospitalNaval Medical UniversityShanghaiChina
| |
Collapse
|
11
|
Nguyen TX, Ran AR, Hu X, Yang D, Jiang M, Dou Q, Cheung CY. Federated Learning in Ocular Imaging: Current Progress and Future Direction. Diagnostics (Basel) 2022; 12:2835. [PMID: 36428895 PMCID: PMC9689273 DOI: 10.3390/diagnostics12112835] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/11/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022] Open
Abstract
Advances in artificial intelligence deep learning (DL) have made tremendous impacts on the field of ocular imaging over the last few years. Specifically, DL has been utilised to detect and classify various ocular diseases on retinal photographs, optical coherence tomography (OCT) images, and OCT-angiography images. In order to achieve good robustness and generalisability of model performance, DL training strategies traditionally require extensive and diverse training datasets from various sites to be transferred and pooled into a "centralised location". However, such a data transferring process could raise practical concerns related to data security and patient privacy. Federated learning (FL) is a distributed collaborative learning paradigm which enables the coordination of multiple collaborators without the need for sharing confidential data. This distributed training approach has great potential to ensure data privacy among different institutions and reduce the potential risk of data leakage from data pooling or centralisation. This review article aims to introduce the concept of FL, provide current evidence of FL in ocular imaging, and discuss potential challenges as well as future applications.
Collapse
Affiliation(s)
- Truong X. Nguyen
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - An Ran Ran
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Xiaoyan Hu
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Dawei Yang
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Meirui Jiang
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Qi Dou
- Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Carol Y. Cheung
- Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China
| |
Collapse
|
12
|
Zhang C, Feng S, He R, Fang Y, Zhang S. Gastroenterology in the Metaverse: The dawn of a new era? Front Med (Lausanne) 2022; 9:904566. [PMID: 36035392 PMCID: PMC9403067 DOI: 10.3389/fmed.2022.904566] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 07/26/2022] [Indexed: 12/03/2022] Open
Abstract
2021 is known as the first Year of the Metaverse, and around the world, internet giants are eager to devote themselves to it. In this review, we will introduce the concept, current development, and application of the Metaverse and the use of the current basic technologies in the medical field, such as virtual reality and telemedicine. We also probe into the new model of gastroenterology in the future era of the Metaverse.
Collapse
Affiliation(s)
- Chi Zhang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shuyan Feng
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Ruonan He
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yi Fang
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shuo Zhang
- The Second Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
- *Correspondence: Shuo Zhang
| |
Collapse
|
13
|
Moglia A, Georgiou K, Marinov B, Georgiou E, Berchiolli RN, Satava RM, Cuschieri A. 5G in Healthcare: from COVID-19 to Future Challenges. IEEE J Biomed Health Inform 2022; 26:4187-4196. [PMID: 35675255 DOI: 10.1109/jbhi.2022.3181205] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Worldwide up to May 2022 there have been 515 million cases of COVID-19 infection and over 6 million deaths. The World Health Organization estimated that 115,000 healthcare workers died from COVID-19 from January 2020 to May 2021. This toll on human lives prompted this review on 5G based networking primarily on major components of healthcare delivery: diagnosis, patient monitoring, contact tracing, diagnostic imaging tests, vaccines distribution, emergency medical services, telesurgery and robot-assisted tele-ultrasound. The positive impact of 5G as core technology for COVID-19 applications enabled exchange of huge data sets in fangcang (cabin) hospitals and real-time contact tracing, while the low latency enhanced robot-assisted tele-ultrasound, and telementoring during ophthalmic surgery. In other instances, 5G provided a supportive technology for applications related to COVID-19, e.g., patient monitoring. The feasibility of 5G telesurgery was proven, albeit by a few studies on real patients, in very low samples size in most instances. The important future applications of 5G in healthcare include surveillance of elderly people, the immunosuppressed, and nano- oncology for Internet of Nano Things (IoNT). Issues remain and these require resolution before routine clinical adoption. These include infrastructure and coverage; health risks; security and privacy protection of patients' data; 5G implementation with artificial intelligence, blockchain, and IoT; validation, patient acceptance and training of end-users on these technologies.
Collapse
|
14
|
Li R, Yang Z, Zhang Y, Bai W, Du Y, Sun R, Tang J, Wang N, Liu H. Cost-effectiveness and cost-utility of traditional and telemedicine combined population-based age-related macular degeneration and diabetic retinopathy screening in rural and urban China. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2022; 23:100435. [PMID: 35355615 PMCID: PMC8958534 DOI: 10.1016/j.lanwpc.2022.100435] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
BACKGROUND To assess the cost-effectiveness and cost-utility of a population-level traditional and telemedicine combined age-related macular degeneration (AMD) and diabetic retinopathy (DR) screening program in rural and urban China. METHODS Decision-analytic Markov models were conducted to evaluate the costs and benefits of traditional and telemedicine combined AMD and DR screening from a societal perspective. A cohort of all participants aged 50 years old and above was followed through a total of 30 1-year Markov cycles. Separate analyses were performed for rural and urban settings. Relevant parameters such as the prevalence of AMD and DR, transition probability, compliance with screening and treatment, screening sensitivity, specificity, utility, and mortality were collected from published studies specific to China, other Asian counties' studies, or unpublished data sources such as the National Committee for the Prevention of Blindness. Costs of screening, full examination, and treatment come from the real medical environments and unified pricing of Beijing Municipal Medical Insurance Bureau. Primary outcomes were incremental cost-utility ratios (ICURs) using quality-adjusted life-years (QALYs) and incremental cost-effectiveness ratios (ICERs) using years of blindness avoided. One-way deterministic and simulated probabilistic sensitivity analyses were conducted to reflect uncertainty. FINDINGS Under the status quo, the total expected medical costs for a 50-year-old patient with AMD or DR were $869·59 and $1,514·18 in rural and urban settings, respectively. Both traditional and telemedicine screening were highly cost-effective. In rural settings, ICURs were $191 (95% confidence interval [CI]: $66 to $239) and $199 (95% CI: $-12 to $217), and ICERs were $2,436 (95% CI: $1,089 to $3,254) and $2,441 (95% CI: $1,452 to $3,900) for traditional and telemedicine screening separately. Even more surprising, both screening strategies dominated no screening in urban settings. Our results were insensitive and robust to extensive sensitivity analyses. Among all acceptable screening intervals (from 1 to 5 years), annual screening could not only produce biggest benefits but also keep ICERs less than three times and one time the per capita gross domestic product (GDP) in rural and urban settings separately. When compared with traditional screening, ICERs of telescreening were less than three times the per capita GDP in rural settings ($2,559 to $8,809) and less than one time the per capita GDP in urban settings (less than $5,564), annual telescreening produced the biggest benefits, it could avert 119 and 270 years of blindness in rural and urban areas separately when 100,000 people were screened. INTERPRETATION We performed decision-analytic Markov models for combined AMD and DR screening in rural and urban China, and the results showed that population-level combined screening for AMD and DR is likely to be highly cost-effective in both rural and urban China for people over 50 years old. Optimal screening may have an interval of every year based on teleophthalmology platforms. In the future, China should pay more attention to chronic eye diseases and the government should establish a sound chronic disease management system and make every patient enjoy equal medical services. FUNDING National Natural Science Foundation of China, NSFC (82171051); the Major Innovation Platform of Public Health & Disease Control and Prevention, Renmin University of China and Beijing Nova program (Z191100001119072).
Collapse
Affiliation(s)
- Ruyue Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
| | - Ziwei Yang
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100000, China
| | - Yue Zhang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
| | - Weiling Bai
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
| | - Yifan Du
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
| | - Runzhou Sun
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
| | - Jianjun Tang
- School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100000, China
- Corresponding author at: School of Agricultural Economics and Rural Development, Renmin University of China, Beijing 100000, China.
| | - Ningli Wang
- Beijing Institute of Ophthalmology, Beijing 100000, China
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
- School of Information and Electronics, Beijing Institute of Technology, Beijing 100000, China
- Corresponding authors at: Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Institute of Technology, Beijing, 100000, China.
| | - Hanruo Liu
- Beijing Institute of Ophthalmology, Beijing 100000, China
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100000, China
- School of Information and Electronics, Beijing Institute of Technology, Beijing 100000, China
- Corresponding authors at: Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Ophthalmology and Visual Sciences, Beijing Institute of Technology, Beijing, 100000, China.
| |
Collapse
|
15
|
Yuen J, Pike S, Khachikyan S, Nallasamy S. Telehealth in Ophthalmology. Digit Health 2022. [DOI: 10.36255/exon-publications-digital-health-telehealth-ophthalmology] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
|
16
|
Li R, Wang N, Liu H. Applications of electronic devices based-on smartphones in ophthalmic diagnosis and treatment activities. Clin Exp Ophthalmol 2022; 50:349-350. [PMID: 35088929 DOI: 10.1111/ceo.14032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 11/08/2021] [Indexed: 11/27/2022]
Affiliation(s)
- Ruyue Li
- Beijing Institute of Ophthalmology; Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Key Laboratory of Ophthalmology and Vision Sciences, Beijing, China
| | - Ningli Wang
- Beijing Institute of Ophthalmology; Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Key Laboratory of Ophthalmology and Vision Sciences, Beijing, China
| | - Hanruo Liu
- Beijing Institute of Ophthalmology; Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University; Beijing Key Laboratory of Ophthalmology and Vision Sciences, Beijing, China
| |
Collapse
|
17
|
Bailo P, Gibelli F, Blandino A, Piccinini A, Ricci G, Sirignano A, Zoja R. Telemedicine Applications in the Era of COVID-19: Telesurgery Issues. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 19:ijerph19010323. [PMID: 35010581 PMCID: PMC8751214 DOI: 10.3390/ijerph19010323] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 12/21/2021] [Accepted: 12/27/2021] [Indexed: 06/01/2023]
Abstract
Telemedicine allows for the effective delivery of health care to patients at a distance through the application of information technology to the field of medicine. This is optimal during the COVID-19 pandemic to reduce interpersonal contact to mitigate contagion. Among the possible Telemedicine applications, there is Telesurgery, which involves more and more surgical specialties thanks to the numerous benefits in quality and cost containment. In the growing field of Telesurgery, its technical and legal implications must be considered. In this study, a traditional review of the scientific literature was carried out to identify the most relevant issues of interest in Telesurgery. The problematic legal aspects identified are mainly related to the difference in legislation between different geographical areas, which is critical in the case of malpractice. In addition, there is the possibility of a malicious hacker attack on the transmitted data stream either to steal sensitive data or to harm the patient. Finally, there are inherent difficulties with the technology used, such as latency issues in data transmission. All these critical issues are currently not adequately addressed by current legislation. Therefore, one can only hope for a legislative action to allow Telesurgery to be used safely.
Collapse
Affiliation(s)
- Paolo Bailo
- Section of Legal Medicine, School of Law, University of Camerino, 62032 Camerino, Italy; (F.G.); (G.R.); (A.S.)
| | - Filippo Gibelli
- Section of Legal Medicine, School of Law, University of Camerino, 62032 Camerino, Italy; (F.G.); (G.R.); (A.S.)
| | - Alberto Blandino
- Sezione di Medicina Legale e delle Assicurazioni, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli, 37, 20133 Milano, Italy; (A.B.); (A.P.); (R.Z.)
| | - Andrea Piccinini
- Sezione di Medicina Legale e delle Assicurazioni, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli, 37, 20133 Milano, Italy; (A.B.); (A.P.); (R.Z.)
| | - Giovanna Ricci
- Section of Legal Medicine, School of Law, University of Camerino, 62032 Camerino, Italy; (F.G.); (G.R.); (A.S.)
| | - Ascanio Sirignano
- Section of Legal Medicine, School of Law, University of Camerino, 62032 Camerino, Italy; (F.G.); (G.R.); (A.S.)
| | - Riccardo Zoja
- Sezione di Medicina Legale e delle Assicurazioni, Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Via Luigi Mangiagalli, 37, 20133 Milano, Italy; (A.B.); (A.P.); (R.Z.)
| |
Collapse
|
18
|
Chen H, Sun H, Chen Y. Application of 5G Technology to Conduct Real-Time Teleretinal Laser Photocoagulation for the Treatment of Diabetic Retinopathy-Reply. JAMA Ophthalmol 2021; 140:205-206. [PMID: 34913946 DOI: 10.1001/jamaophthalmol.2021.5391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Huan Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hu Sun
- Clin Medical Instrument Co, Ltd, Shanghai, China
| | - Youxin Chen
- Department of Ophthalmology, Peking Union Medical College Hospital, Key Laboratory of Ocular Fundus Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| |
Collapse
|
19
|
Kozak I. The Advanced Remote Teleguidance System For Retinal Laser Photocoagulation. JAMA Ophthalmol 2021; 140:205. [PMID: 34913954 DOI: 10.1001/jamaophthalmol.2021.5394] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Igor Kozak
- Moorfields Eye Hospital UAE, Abu Dhabi, United Arab Emirates
| |
Collapse
|