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Angelopoulou E, Koros C, Stanitsa E, Stamelos I, Kontaxopoulou D, Fragkiadaki S, Papatriantafyllou JD, Smaragdaki E, Vourou K, Pavlou D, Bamidis PD, Stefanis L, Papageorgiou SG. Neurological Examination via Telemedicine: An Updated Review Focusing on Movement Disorders. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:958. [PMID: 38929575 PMCID: PMC11205653 DOI: 10.3390/medicina60060958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 06/05/2024] [Accepted: 06/07/2024] [Indexed: 06/28/2024]
Abstract
Patients with movement disorders such as Parkinson's disease (PD) living in remote and underserved areas often have limited access to specialized healthcare, while the feasibility and reliability of the video-based examination remains unclear. The aim of this narrative review is to examine which parts of remote neurological assessment are feasible and reliable in movement disorders. Clinical studies have demonstrated that most parts of the video-based neurological examination are feasible, even in the absence of a third party, including stance and gait-if an assistive device is not required-bradykinesia, tremor, dystonia, some ocular mobility parts, coordination, and gross muscle power and sensation assessment. Technical issues (video quality, internet connection, camera placement) might affect bradykinesia and tremor evaluation, especially in mild cases, possibly due to their rhythmic nature. Rigidity, postural instability and deep tendon reflexes cannot be remotely performed unless a trained healthcare professional is present. A modified version of incomplete Unified Parkinson's Disease Rating Scale (UPDRS)-III and a related equation lacking rigidity and pull testing items can reliably predict total UPDRS-III. UPDRS-II, -IV, Timed "Up and Go", and non-motor and quality of life scales can be administered remotely, while the remote Movement Disorder Society (MDS)-UPDRS-III requires further investigation. In conclusion, most parts of neurological examination can be performed virtually in PD, except for rigidity and postural instability, while technical issues might affect the assessment of mild bradykinesia and tremor. The combined use of wearable devices may at least partially compensate for these challenges in the future.
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Affiliation(s)
- Efthalia Angelopoulou
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Christos Koros
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Evangelia Stanitsa
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Ioannis Stamelos
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Dionysia Kontaxopoulou
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Stella Fragkiadaki
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - John D. Papatriantafyllou
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Evangelia Smaragdaki
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Kalliopi Vourou
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Dimosthenis Pavlou
- School of Topography and Geoinformatics, University of West Attica, Ag. Spyridonos Str., 12243 Aigalew, Greece;
| | - Panagiotis D. Bamidis
- Lab of Medical Physics and Digital Innovation, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece;
| | - Leonidas Stefanis
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
| | - Sokratis G. Papageorgiou
- 1st Department of Neurology, Aiginition University Hospital, Vasilissis Sofias Street 72-74, 11528 Athens, Greece; (E.A.); (E.S.); (I.S.); (D.K.); (S.F.); (J.D.P.); (E.S.); (K.V.); (L.S.); (S.G.P.)
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Cheema MJ, Hassan MMU, Asim A, Nathaniel E, Shafeeq MI, Tayyab MA, Rahim Valiyakath C, Abdallah S, Usman A. Innovations in Hybrid Laparoscopic Surgery: Integrating Advanced Technologies for Multidisciplinary Cases. Cureus 2024; 16:e63219. [PMID: 39070515 PMCID: PMC11279072 DOI: 10.7759/cureus.63219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/26/2024] [Indexed: 07/30/2024] Open
Abstract
Combining conventional laparoscopic techniques with cutting-edge technologies, such as robotics, improved imaging, and flexible equipment, hybrid laparoscopic techniques represent a revolutionary advancement in minimally invasive surgery. These methods have several benefits, such as increased accuracy, quicker healing periods, and fewer complications, which makes them especially useful in complicated multidisciplinary situations. The historical evolution, uses, benefits, and drawbacks of hybrid laparoscopic procedures are examined in this narrative review, which also covers urological, gastrointestinal, cardiothoracic, and gynecological surgery. The review focuses on how these methods promote interdisciplinary cooperation and creativity by enabling more accurate and successful surgical operations. It also discusses the equipment needs, integration difficulties, and technical difficulties that need to be resolved to reach the full potential of hybrid laparoscopic surgery. For hybrid laparoscopic procedures to become more widely used and effective in the future, there is a need for specialized training programs, interdisciplinary research collaborations, and ongoing technological advancements.
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Affiliation(s)
| | | | - Aiman Asim
- Medicine and Surgery, Jinnah Postgraduate Medical Centre, Karachi, PAK
| | | | | | | | | | | | - Ali Usman
- General Surgery, Nishtar Medical University, Multan, PAK
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3
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Elendu C, Elendu TC, Elendu ID. 5G-enabled smart hospitals: Innovations in patient care and facility management. Medicine (Baltimore) 2024; 103:e38239. [PMID: 38758872 PMCID: PMC11098186 DOI: 10.1097/md.0000000000038239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2024] [Accepted: 04/25/2024] [Indexed: 05/19/2024] Open
Abstract
Smart hospitals represent the pinnacle of healthcare innovation, leveraging cutting-edge technologies to transform patient care and facility management. This article addresses the pressing need for effective implementation of 5G technology in smart hospitals, aiming to enhance connectivity, improve patient outcomes, and drive operational efficiency. The methodology employed involves a comprehensive review of existing literature, case studies, and expert insights to analyze the impact of 5G on various aspects of smart hospital operations. The article highlights the significance of 5G technology in enabling real-time data analytics, remote monitoring, and telemedicine, thus revolutionizing healthcare delivery. By providing high-speed, low-latency connectivity, 5G facilitates seamless communication and collaboration among healthcare providers, leading to more efficient diagnosis, treatment, and patient care. Additionally, the adoption of 5G enables smart hospitals to leverage artificial intelligence (AI)-based solutions for predictive analytics, personalized medicine and enhanced patient engagement. Furthermore, the article explores the potential of 5G-enabled smart hospitals in enhancing disaster preparedness and emergency response efforts. Case studies and examples demonstrate how 5G technology can improve situational awareness, coordinate resources, and deliver timely care during natural disasters and pandemics. Overall, this article underscores the transformative impact of 5G technology on smart hospitals and emphasizes the importance of embracing innovation to meet the evolving needs of patients and communities. By adopting 5G technology, smart hospitals can usher in a new era of healthcare delivery characterized by enhanced connectivity, improved patient outcomes, and unparalleled efficiency.
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Kumar A, Gaur N, Nanthaamornphong A. Improving the latency for 5G/B5G based smart healthcare connectivity in rural area. Sci Rep 2024; 14:6976. [PMID: 38521842 PMCID: PMC10960841 DOI: 10.1038/s41598-024-57641-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 03/20/2024] [Indexed: 03/25/2024] Open
Abstract
Smart hospitals are poised to greatly enhance life quality by offering persistent health monitoring capabilities. Remote healthcare and surgery, which are highly dependent on low latency, have seen a transformative improvement with the advent of 5G technology. This has facilitated a new breed of healthcare services, including monitoring and remote surgical procedures. The enhanced features of 5G, such as Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC), have enabled the development of advanced healthcare systems. These systems reduce the need for direct patient contact in hospitals, which is especially pertinent as 5G becomes more widespread. This research presents novel hybrid detection algorithms, specifically QR decomposition with M-algorithm maximum likelihood-minimum mean square error (QRM-MLD-MMSE) and QRM-MLD-ZF (zero forcing), for use in Massive MIMO (M-MIMO) technology. These methods aim to decrease the latency in MIMO-based Non-Orthogonal Multiple Access (NOMA) waveforms while ensuring optimal bit error rate (BER) performance. We conducted simulations to evaluate parameters like BER and power spectral density (PSD) over Rician and Rayleigh channels using both the proposed hybrid and standard algorithms. The study concludes that our hybrid algorithms significantly enhance BER and PSD with lower complexity, marking a substantial improvement in 5G communication for smart healthcare applications.
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Affiliation(s)
- Arun Kumar
- Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, India
| | - Nishant Gaur
- Department of Physics, JECRC University, Jaipur, India
| | - Aziz Nanthaamornphong
- College of Computing, Prince of Songkla University, Phuket Campus, Phuket, Thailand.
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Bhagat SV, Kanyal D. Navigating the Future: The Transformative Impact of Artificial Intelligence on Hospital Management- A Comprehensive Review. Cureus 2024; 16:e54518. [PMID: 38516434 PMCID: PMC10955674 DOI: 10.7759/cureus.54518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Accepted: 02/13/2024] [Indexed: 03/23/2024] Open
Abstract
This comprehensive review explores the transformative impact of artificial intelligence (AI) on hospital management, delving into its applications, challenges, and future trends. Integrating AI in administrative functions, clinical operations, and patient engagement holds significant promise for enhancing efficiency, optimizing resource allocation, and revolutionizing patient care. However, this evolution is accompanied by ethical, legal, and operational considerations that necessitate careful navigation. The review underscores key findings, emphasizing the implications for the future of hospital management. It calls for a proactive approach, urging stakeholders to invest in education, prioritize ethical guidelines, foster collaboration, advocate for thoughtful regulation, and embrace a culture of innovation. The healthcare industry can successfully navigate this transformative era through collective action, ensuring that AI contributes to more effective, accessible, and patient-centered healthcare delivery.
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Affiliation(s)
- Shefali V Bhagat
- Hospital Administration, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Deepika Kanyal
- Hospital Administration, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Hua Z, Ke Y, Yang Z, Di Z, Pan G, Gao K. Computer vision-aided mmWave communications for indoor medical healthcare. Comput Biol Med 2024; 169:107869. [PMID: 38154160 DOI: 10.1016/j.compbiomed.2023.107869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 11/25/2023] [Accepted: 12/17/2023] [Indexed: 12/30/2023]
Abstract
Comprehensive and exceedingly precise centralized patient monitoring has become essential to advance predictive, preventive, and efficient patient care in contemporary healthcare. Millimeter-wave (mmWave) technology, boasting high-frequency and high-speed wireless communication, holds promise as a viable solution to this challenge. This paper presents a new approach that combines mmWave communication and computer vision (CV) to achieve real-time patient monitoring and data transmission in indoor medical environments. The system comprises a transmitter, a reflective surface, and multiple communication targets, and utilizes the high-frequency, low-latency features of mmWave as well as CV-based target detection and depth estimation for precise localization and reliable data transmission. A machine learning algorithm analyses real-time images captured by an optical camera to identify target distance and direction and establish clear line-of-sight links. The system proactively adapts its transmission power and channel allocation based on the target's movements, guaranteeing complete coverage, even in potentially obstructive areas. This methodology tackles the escalating demand for high-speed, real-time data processing in modern healthcare, significantly enhancing its delivery.
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Affiliation(s)
- Zizheng Hua
- School of Optics and Photonics, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
| | - Ying Ke
- School of Cyberspace Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
| | - Ziyi Yang
- School of Cyberspace Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
| | - Zhang Di
- School of Cyberspace Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
| | - Gaofeng Pan
- School of Cyberspace Science and Technology, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
| | - Kun Gao
- School of Optics and Photonics, Beijing Institute of Technology, No. 5 Zhongguancun South St., Beijing, 100081, Beijing, China.
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7
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Agrawal V, Agrawal S, Bomanwar A, Dubey T, Jaiswal A. Exploring the Risks, Benefits, Advances, and Challenges in Internet Integration in Medicine With the Advent of 5G Technology: A Comprehensive Review. Cureus 2023; 15:e48767. [PMID: 38098915 PMCID: PMC10719543 DOI: 10.7759/cureus.48767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
The integration of 5G technology in the healthcare sector is poised to bring about transformative changes, offering numerous advantages such as enhanced telemedicine services, expedited data transfer for medical records, improved remote surgery capabilities, real-time monitoring and diagnostics, advancements in wearable medical devices, and the potential for precision medicine. However, this technological shift is not without its concerns, including potential health implications related to 5G radiation exposure, heightened cybersecurity risks for medical devices and data systems, potential system failures due to technology dependence, and privacy issues linked to data breaches in healthcare. We are striking a balance between harnessing these benefits and addressing the associated risks. Achieving this equilibrium requires the establishment of a robust regulatory framework, ongoing research into the health impacts of 5G radiation, the implementation of stringent cybersecurity measures, education and training for healthcare professionals, and the development of ethical standards. The future of 5G in the medical field holds immense promise, but success depends on our ability to navigate this evolving landscape while prioritizing patient safety, privacy, and ethical practice.
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Affiliation(s)
- Varun Agrawal
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Suyash Agrawal
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Aarya Bomanwar
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Tanishq Dubey
- Medicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
| | - Arpita Jaiswal
- Obstetrics and Gynaecology, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND
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Moustris G, Tzafestas C, Konstantinidis K. A long distance telesurgical demonstration on robotic surgery phantoms over 5G. Int J Comput Assist Radiol Surg 2023; 18:1577-1587. [PMID: 37095315 PMCID: PMC10124680 DOI: 10.1007/s11548-023-02913-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 04/07/2023] [Indexed: 04/26/2023]
Abstract
PURPOSE Using robotic technology and communications infrastructure to remotely perform surgery has been a persistent goal in medical research in the past three decades. The recent deployment of the Fifth-Generation Wireless Networks has revitalized the research efforts in the telesurgery paradigm. Offering low latency and high bandwidth communication, they are well suited for applications that require real-time data transmission and can allow smoother communication between surgeon and patient, making it possible to remotely perform complex surgeries. In this paper, we investigate the effects of the 5 G network on surgical performance during a telesurgical demonstration where the surgeon and the robot are separated by nearly 300 km. METHODS The surgeon performed surgical exercises on a robotic surgery training phantom using a novel telesurgical platform. The master controllers were connected to the local site on a 5 G network, teleoperating the robot remotely in a hospital. A video feed of the remote site was also streamed. The surgeon performed various tasks on the phantom such as cutting, dissection, pick-and-place and ring tower transfer. To assess the usefulness, usability and image quality of the system, the surgeon was subsequently interviewed using three structured questionnaires. RESULTS All tasks were completed successfully. The low latency and high bandwidth of the network resulted into a latency of 18 ms for the motion commands while the video delay was about 350 ms. This enabled the surgeon to operate smoothly with a high-definition video from about 300 km away. The surgeon viewed the system's usability in a neutral to positive way while the video image was rated as of good quality. CONCLUSION 5 G networks provide significant advancement in the field of telecommunications, offering faster speeds and lower latency than previous generations of wireless technology. They can serve as an enabling technology for telesurgery and further advance its application and adoption.
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Affiliation(s)
- George Moustris
- School of Electrical and Computer Engineering, National Technical University of Athens, Zographou Campus, 15773 Athens, Greece
| | - Costas Tzafestas
- School of Electrical and Computer Engineering, National Technical University of Athens, Zographou Campus, 15773 Athens, Greece
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Ren JY, Lei YM, Lei BS, Peng YX, Pan XF, Ye HR, Cui XW. The feasibility and satisfaction study of 5G-based robotic teleultrasound diagnostic system in health check-ups. Front Public Health 2023; 11:1149964. [PMID: 37497023 PMCID: PMC10366591 DOI: 10.3389/fpubh.2023.1149964] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 04/10/2023] [Indexed: 07/28/2023] Open
Abstract
Objective Regular check-up with ultrasound in underserved rural and/or remote areas is hampered due to the limited availability of sonologists and ultrasound devices. This study aimed to assess the feasibility and satisfaction of health check-ups with a 5G-based robotic teleultrasound diagnostic system. Methods In this prospective study, sonologists from two hospitals manipulated the telerobotic ultrasound system to perform teleultrasound check-ups of the liver, gallbladder, pancreas, spleen, kidneys, bladder, prostate (male), uterus and ovaries (female) for the subjects. The feasibility and satisfaction of health check-ups with a 5G-based robotic teleultrasound diagnostic system were evaluated in terms of examination results, examination duration, and satisfaction questionnaire survey. Results A total of 546 subjects were included with the most frequently diagnosed being abdominal disorders (n = 343) and male reproductive illnesses (n = 97), of which fatty liver (n = 204) and prostatic calcification (n = 54) were the most. The median teleultrasound examination duration (interquartile range) for men and women was 9 (9-11) min and 9 (7-11) min (p = 0.236), respectively. All the subjects were satisfied with this new type of telerobotic ultrasound check-ups and 96% reported no fear of the robotic arm during the examination. Conclusion The 5G-based teleultrasound robotic diagnostic system in health check-ups is feasible and satisfactory, indicating that this teleultrasound robot system may have significant application value in underserved rural and/or remote areas to mitigate disparity in achieving health equity.
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Affiliation(s)
- Jia-Yu Ren
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu-Meng Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Bing-Song Lei
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Yue-Xiang Peng
- Department of Ultrasound, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China
| | - Xiao-Fang Pan
- Health Medical Department, Dalian Municipal Central Hospital, Dalian, China
| | - Hua-Rong Ye
- Department of Medical Ultrasound, China Resources & Wisco General Hospital, Wuhan University of Science and Technology, Wuhan, China
| | - Xin-Wu Cui
- Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Liu Y, Al Kalaa MO. Testbed as a RegUlatory Science Tool (TRUST): A Testbed Design for Evaluating 5G-Enabled Medical Devices. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2023; 11:81563-81576. [PMID: 37691998 PMCID: PMC10483486 DOI: 10.1109/access.2023.3299242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
The fifth-generation (5G) cellular communication technology introduces technical advances that can expand medical device access to connectivity services. However, assessing the safety and effectiveness of emerging 5G-enabled medical devices is challenging as relevant evaluation methods have not yet been established. In this paper, we propose a design model for 5G testbed as a regulatory science tool (TRUST) for assessing 5G connectivity enablers of medical device functions. Specifically, we first identify application specific testing needs and general testing protocols. Next, we outline the selection and customization of key system components to create a 5G testbed. A TRUST demonstration is documented through a realistic 5G testbed implementation along with the deployment of a custom-built example use-case for 5G-enabled medical extended reality (MXR). Detailed configurations, example collected data, and implementation challenges are presented. The openness of the TRUST design model allows a TRUST testbed to be easily extended and customized to incorporate available resources and address the evaluation needs of different stakeholders.
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Affiliation(s)
- Yongkang Liu
- Office of Science and Engineering Laboratories (OSEL), Center for Devices and Radiological Health (CDRH), U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Mohamad Omar Al Kalaa
- Office of Science and Engineering Laboratories (OSEL), Center for Devices and Radiological Health (CDRH), U.S. Food and Drug Administration, Silver Spring, MD, USA
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Koh FH, Ladlad J, Teo EK, Lin CL, Foo FJ. Real-time artificial intelligence (AI)-aided endoscopy improves adenoma detection rates even in experienced endoscopists: a cohort study in Singapore. Surg Endosc 2023; 37:165-171. [PMID: 35882667 PMCID: PMC9321269 DOI: 10.1007/s00464-022-09470-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 07/10/2022] [Indexed: 01/18/2023]
Abstract
BACKGROUND Colonoscopy is a mainstay to detect premalignant neoplastic lesions in the colon. Real-time Artificial Intelligence (AI)-aided colonoscopy purportedly improves the polyp detection rate, especially for small flat lesions. The aim of this study is to evaluate the performance of real-time AI-aided colonoscopy in the detection of colonic polyps. METHODS A prospective single institution cohort study was conducted in Singapore. All real-time AI-aided colonoscopies, regardless of indication, performed by specialist-grade endoscopists were anonymously recorded from July to September 2021 and reviewed by 2 independent authors (FHK, JL). Sustained detection of an area by the program was regarded as a "hit". Histology for the polypectomies were reviewed to determine adenoma detection rate (ADR). Individual endoscopist's performance with AI were compared against their baseline performance without AI endoscopy. RESULTS A total of 24 (82.8%) endoscopists participated with 18 (62.1%) performing ≥ 5 AI-aided colonoscopies. Of the 18, 72.2% (n = 13) were general surgeons. During that 3-months period, 487 "hits" encountered in 298 colonoscopies. Polypectomies were performed for 51.3% and 68.4% of these polypectomies were adenomas on histology. The post-intervention median ADR was 30.4% was higher than the median baseline polypectomy rate of 24.3% (p = 0.02). Of the adenomas excised, 14 (5.6%) were sessile serrated adenomas. Of those who performed ≥ 5 AI-aided colonoscopies, 13 (72.2%) had an improvement of ADR compared to their polypectomy rate before the introduction of AI, of which 2 of them had significant improvement. CONCLUSIONS Real-time AI-aided colonoscopy have the potential to improved ADR even for experienced endoscopists and would therefore, improve the quality of colonoscopy.
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Affiliation(s)
- Frederick H. Koh
- grid.508163.90000 0004 7665 4668Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, 110 Sengkang East Way, Singapore, 544886 Singapore
| | - Jasmine Ladlad
- grid.508163.90000 0004 7665 4668Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, 110 Sengkang East Way, Singapore, 544886 Singapore
| | | | - Eng-Kiong Teo
- grid.508163.90000 0004 7665 4668Department of Gastroenterology and Hepatology, Sengkang General Hospital, SingHealth Services, Singapore, Singapore
| | - Cui-Li Lin
- grid.508163.90000 0004 7665 4668Department of Gastroenterology and Hepatology, Sengkang General Hospital, SingHealth Services, Singapore, Singapore
| | - Fung-Joon Foo
- grid.508163.90000 0004 7665 4668Colorectal Service, Department of General Surgery, Sengkang General Hospital, SingHealth Services, 110 Sengkang East Way, Singapore, 544886 Singapore ,grid.508163.90000 0004 7665 4668Endoscopy Centre, Division of Hyperacute Care, Sengkang General Hospital, Singapore, Singapore
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Checcucci E, Cacciamani GE, Amparore D, Gozen A, Seitz C, Breda A, Liatsikos E, Porpiglia F. The Metaverse in Urology: Ready for Prime Time. The ESUT, ERUS, EULIS, and ESU Perspective. EUR UROL SUPPL 2022; 46:96-98. [DOI: 10.1016/j.euros.2022.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
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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.
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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
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In Reply to the Letter to the Editor Regarding “Accuracy of Pedicle Screw Placement and Four Other Clinical Outcomes of Robotic Guidance Technique versus Computer-Assisted Navigation in Thoracolumbar Surgery: A Meta-Analysis”. World Neurosurg 2022; 164:476-477. [DOI: 10.1016/j.wneu.2022.05.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 05/27/2022] [Indexed: 11/18/2022]
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Chai HH, Ye RZ, Xiong LF, Xu ZN, Chen X, Xu LJ, Hu X, Jiang LF, Peng CZ. Successful Use of a 5G-Based Robot-Assisted Remote Ultrasound System in a Care Center for Disabled Patients in Rural China. Front Public Health 2022; 10:915071. [PMID: 35923952 PMCID: PMC9339711 DOI: 10.3389/fpubh.2022.915071] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/22/2022] [Indexed: 12/07/2022] Open
Abstract
Background Disability has become a global population health challenge. Due to difficulties in self-care or independent living, patients with disability mainly live in community-based care centers or institutions for long-term care. Nonetheless, these settings often lack basic medical resources, such as ultrasonography. Thus, remote ultrasonic robot technology for clinical applications across wide regions is imperative. To date, few experiences of remote diagnostic systems in rural care centers have been reported. Objective To assess the feasibility of a fifth-generation cellular technology (5G)-based robot-assisted remote ultrasound system in a care center for disabled patients in rural China. Methods Patients underwent remote robot-assisted and bedside ultrasound examinations of the liver, gallbladder, spleen, and kidneys. We compared the diagnostic consistency and differences between the two modalities and evaluated the examination duration, image quality, and safety. Results Forty-nine patients were included (21 men; mean age: 61.0 ± 19.0 [range: 19-91] years). Thirty-nine and ten had positive and negative results, respectively; 67 lesions were detected. Comparing the methods, 41 and 8 patients had consistent and inconsistent diagnoses, respectively. The McNemar and kappa values were 0.727 and 0.601, respectively. The mean duration of remote and bedside examinations was 12.2 ± 4.5 (range: 5-26) min and 7.5 ± 1.8 (range: 5-13) min (p < 0.001), respectively. The median image score for original images on the patient side and transmitted images on the doctor side was 5 points (interquartile range: [IQR]: 4.7-5.0) and 4.7 points (IQR: 4.5-5.0) (p = 0.176), respectively. No obvious complications from the examination were reported. Conclusions A 5G-based robot-assisted remote ultrasound system is feasible and has comparable diagnostic efficiency to traditional bedside ultrasound. This system may provide a unique solution for basic ultrasound diagnostic services in primary healthcare settings.
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Affiliation(s)
- Hui-hui Chai
- Department of Medical Ultrasound, Shanghai Tenth People' Hospital, Tongji University School of Medicine, Shanghai, China
| | - Rui-zhong Ye
- Emergency and Critical Care Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Lin-fei Xiong
- Department of Engineering, BGI Life Science Research Institution, Shenzhen, China
| | - Zi-ning Xu
- Emergency and Critical Care Center, Department of Ultrasound Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China
| | - Xuan Chen
- Department of Engineering, BGI Life Science Research Institution, Shenzhen, China
| | - Li-juan Xu
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Xin Hu
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Lian-feng Jiang
- Department of General Practice, Yuanshu Disabled Care Center, Huzhou, China
| | - Cheng-zhong Peng
- Department of Medical Ultrasound, Shanghai Tenth People' Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
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