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Aljamaan F, Malki KH, Alhasan K, Jamal A, Altamimi I, Khayat A, Alhaboob A, Abdulmajeed N, Alshahrani FS, Saad K, Al-Eyadhy A, Al-Tawfiq JA, Temsah MH. ChatGPT-3.5 System Usability Scale early assessment among Healthcare Workers: Horizons of adoption in medical practice. Heliyon 2024; 10:e28962. [PMID: 38623218 PMCID: PMC11016609 DOI: 10.1016/j.heliyon.2024.e28962] [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: 07/28/2023] [Revised: 02/26/2024] [Accepted: 03/27/2024] [Indexed: 04/17/2024] Open
Abstract
Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions. This study aimed to evaluate HCWs usability of ChatGPT three months post-launch in Saudi Arabia using the System Usability Scale (SUS). A total of 194 HCWs participated in the survey. Forty-seven percent were satisfied with their usage, 57 % expressed moderate to high trust in its ability to generate medical decisions. 58 % expected ChatGPT would improve patients' outcomes, even though 84 % were optimistic of its potential to improve the future of healthcare practice. They expressed possible concerns like recommending harmful medical decisions and medicolegal implications. The overall mean SUS score was 64.52, equivalent to 50 % percentile rank, indicating high marginal acceptability of the system. The strongest positive predictors of high SUS scores were participants' belief in AI chatbot's benefits in medical research, self-rated familiarity with ChatGPT and self-rated computer skills proficiency. Participants' learnability and ease of use score correlated positively but weakly. On the other hand, medical students and interns had significantly high learnability scores compared to others, while ease of use scores correlated very strongly with participants' perception of positive impact of ChatGPT on the future of healthcare practice. Our findings highlight the HCWs' perceived marginal acceptance of ChatGPT at the current stage and their optimism of its potential in supporting them in future practice, especially in the research domain, in addition to humble ambition of its potential to improve patients' outcomes particularly in regard of medical decisions. On the other end, it underscores the need for ongoing efforts to build trust and address ethical and legal concerns of AI implications in healthcare. The study contributes to the growing body of literature on AI chatbots in healthcare, especially addressing its future improvement strategies and provides insights for policymakers and healthcare providers about the potential benefits and challenges of implementing them in their practice.
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Affiliation(s)
- Fadi Aljamaan
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Critical Care Department, College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
| | - Khalid H. Malki
- Research Chair of Voice, Swallowing, and Communication Disorders, Department of Otolaryngology, College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
| | - Khalid Alhasan
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Pediatric Department, College of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
- Department of Kidney and Pancreas Transplant, Organ Transplant Center of Excellence, King Faisal Specialist Hospital and Research Center, Riyadh 11211, Saudi Arabia
| | - Amr Jamal
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Department of Family and Community Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
- Evidence-Based Health Care & Knowledge Translation Research Chair, Family & Community Medicine Department, College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
| | - Ibraheem Altamimi
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
| | - Afnan Khayat
- Health Information Management Department, Prince Sultan Military College of Health Sciences, Al Dhahran 34313, Saudi Arabia
| | - Ali Alhaboob
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Pediatric Department, College of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
| | - Naif Abdulmajeed
- Pediatric Department, College of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
- Pediatric Nephrology Department, Prince Sultan Military Medical City, Riyadh 11159, Saudi Arabia
| | - Fatimah S. Alshahrani
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Infectious Disease Division, Department of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
| | - Khaled Saad
- Pediatric Department, Faculty of Medicine, Assiut University, Assiut 71516, Egypt
| | - Ayman Al-Eyadhy
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Pediatric Department, College of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
| | - Jaffar A. Al-Tawfiq
- Specialty Internal Medicine and Quality Department, Johns Hopkins Aramco Healthcare, Dhahran 34465, Saudi Arabia
- Infectious Disease Division, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN46202, USA
- Infectious Disease Division, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD21218, USA
| | - Mohamad-Hani Temsah
- College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
- Pediatric Department, College of Medicine, King Saud University Medical City, Riyadh 11362, Saudi Arabia
- Evidence-Based Health Care & Knowledge Translation Research Chair, Family & Community Medicine Department, College of Medicine, King Saud University, Riyadh 11362, Saudi Arabia
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Voinescu A, Petrini K, Stanton Fraser D. Presence and simulator sickness predict the usability of a virtual reality attention task. VIRTUAL REALITY 2023; 27:1-17. [PMID: 37360806 PMCID: PMC10038382 DOI: 10.1007/s10055-023-00782-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 02/26/2023] [Indexed: 06/28/2023]
Abstract
Attention is the ability to actively process specific information within one's environment over longer periods of time while disregarding other details. Attention is an important process that contributes to overall cognitive performance from performing every day basic tasks to complex work activities. The use of virtual reality (VR) allows study of the attention processes in realistic environments using ecological tasks. To date, research has focused on the efficacy of VR attention tasks in detecting attention impairment, while the impact of the combination of variables such as mental workload, presence and simulator sickness on both self-reported usability and objective attention task performance in immersive VR has not been examined. The current study tested 87 participants on an attention task in a virtual aquarium using a cross-sectional design. The VR task followed the continuous performance test paradigm where participants had to respond to correct targets and ignore non-targets over 18 min. Performance was measured using three outcomes: omission (failing to respond to correct targets), commission errors (incorrect responses to targets) and reaction time to correct targets. Measures of self-reported usability, mental workload, presence and simulator sickness were collected. The results showed that only presence and simulator sickness had a significant impact on usability. For performance outcomes, simulator sickness was significantly and weakly associated with omission errors, but not with reaction time and commission errors. Mental workload and presence did not significantly predict performance. Our results suggest that usability is more likely to be negatively impacted by simulator sickness and lack of presence than performance and that usability and attention performance are linked. They highlight the importance of considering factors such as presence and simulator sickness in attention tasks as these variables can impact usability. Supplementary Information The online version contains supplementary material available at 10.1007/s10055-023-00782-3.
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Affiliation(s)
- Alexandra Voinescu
- Department of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY UK
- International Institute for the Advanced Studies of Psychotherapy and Applied Mental Health, Babeș-Bolyai University, Cluj-Napoca, Romania
| | - Karin Petrini
- Department of Psychology, University of Bath, Claverton Down, Bath, BA2 7AY UK
- Centre for the Analysis of Motion, Entertainment Research and Applications, University of Bath, Bath, UK
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Bindschadler M, Buddhe S, Ferguson MR, Jones T, Friedman SD, Otto RK. HEARTBEAT4D: An Open-source Toolbox for Turning 4D Cardiac CT into VR/AR. J Digit Imaging 2022; 35:1759-1767. [PMID: 35614275 PMCID: PMC9712868 DOI: 10.1007/s10278-022-00659-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 04/20/2022] [Accepted: 05/18/2022] [Indexed: 11/30/2022] Open
Abstract
Four-dimensional data sets are increasingly common in MRI and CT. While clinical visualization often focuses on individual temporal phases capturing the tissue(s) of interest, it may be possible to gain additional insight through exploring animated 3D reconstructions of physiological motion made possible by augmented or virtual reality representations of 4D patient imaging. Cardiac CT acquisitions can provide sufficient spatial resolution and temporal data to support advanced visualization, however, there are no open-source tools readily available to facilitate the transformation from raw medical images to dynamic and interactive augmented or virtual reality representations. To address this gap, we developed a workflow using free and open-source tools to process 4D cardiac CT imaging starting from raw DICOM data and ending with dynamic AR representations viewable on a phone, tablet, or computer. In addition to assembling the workflow using existing platforms (3D Slicer and Unity), we also contribute two new features: 1. custom software which can propagate a segmentation created for one cardiac phase to all others and export to surface files in a fully automated fashion, and 2. a user interface and linked code for the animation and interactive review of the surfaces in augmented reality. Validation of the surface-based areas demonstrated excellent correlation with radiologists' image-based areas (R > 0.99). While our tools were developed specifically for 4D cardiac CT, the open framework will allow it to serve as a blueprint for similar applications applied to 4D imaging of other tissues and using other modalities. We anticipate this and related workflows will be useful both clinically and for educational purposes.
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Affiliation(s)
- M Bindschadler
- Department of Neurology, Seattle, WA, USA
- Department of Radiology, Seattle Childrens, Seattle, WA, USA
| | - S Buddhe
- Department of Pediatrics, Seattle Children's Heart Center and the University of Washington, Seattle, WA, USA
| | - M R Ferguson
- Department of Radiology, University of Washington, Seattle, WA, USA
- Department of Radiology, Seattle Childrens, Seattle, WA, USA
| | - T Jones
- Department of Pediatrics, Seattle Children's Heart Center and the University of Washington, Seattle, WA, USA
| | - S D Friedman
- Department of Neurology, Seattle, WA, USA
- Department of Improvement and Innovation, Seattle, WA, USA
| | - R K Otto
- Department of Radiology, University of Washington, Seattle, WA, USA.
- Department of Radiology, Seattle Childrens, Seattle, WA, USA.
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Abjigitova D, Sadeghi AH, Peek JJ, Bekkers JA, Bogers AJJC, Mahtab EAF. Virtual Reality in the Preoperative Planning of Adult Aortic Surgery: A Feasibility Study. J Cardiovasc Dev Dis 2022; 9:31. [PMID: 35200685 PMCID: PMC8879426 DOI: 10.3390/jcdd9020031] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 01/10/2022] [Accepted: 01/12/2022] [Indexed: 12/10/2022] Open
Abstract
Background: Complex aortic anatomy needs careful preoperative planning in which a patient-tailored approach with novel immersive techniques could serve as a valuable addition to current preoperative imaging. This pilot study aimed to investigate the technical feasibility of virtual reality (VR) as an additional imaging tool for preoperative planning in ascending aortic surgery. Methods: Ten cardiothoracic surgeons were presented with six patients who had each undergone a recent repair of the ascending aorta. Two-dimensional computed tomography images of each patient were assessed prior to the VR session. After three-dimensional (3D) VR rendering and 3D segmentation of the ascending aorta and aortic arch, the reconstructions were analyzed by each surgeon in VR via a head-mounted display. Each cardiothoracic surgeon completed a questionnaire after each planning procedure. The results of their assessments were compared to the performed operations. The primary endpoint of the present study was a change of surgical approach from open to clamped distal anastomosis, and vice versa. Results: Compared with conventional imaging, 80% of surgeons found that VR prepared them better for surgery. In 33% of cases (two out of six), the preoperative decision was adjusted due to the 3D VR-based evaluation of the anatomy. Surgeons rated CardioVR usefulness, user-friendliness, and satisfaction with median scores of 3.8 (IQR: 3.5-4.1), 4.2 (IQR: 3.8-4.6,) and 4.1 (IQR: 3.8-4.7) on a five-point Likert scale, respectively. Conclusions: Three-dimensional VR imaging was associated with improved anatomical understanding among surgeons and could be helpful in the future preoperative planning of ascending aortic surgery.
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Affiliation(s)
- Djamila Abjigitova
- Department of Cardiothoracic Surgery, Erasmus University Medical Center, Room Rg-619, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands; (A.H.S.); (J.J.P.); (J.A.B.); (A.J.J.C.B.); (E.A.F.M.)
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(Virtual reality in education of healthcare professionals in cardiology at the beginning of 2021). COR ET VASA 2021. [DOI: 10.33678/cor.2021.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Deng S, Wheeler G, Toussaint N, Munroe L, Bhattacharya S, Sajith G, Lin E, Singh E, Chu KYK, Kabir S, Pushparajah K, Simpson JM, Schnabel JA, Gomez A. A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures. J Imaging 2021; 7:151. [PMID: 34460787 PMCID: PMC8404926 DOI: 10.3390/jimaging7080151] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2021] [Revised: 08/13/2021] [Accepted: 08/17/2021] [Indexed: 12/03/2022] Open
Abstract
The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper, we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multiplanar reformatting, flow visualisation and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation and multiuser interactions. The available features were evaluated by imaging and nonimaging clinicians, showing that the virtual reality system can help improve the understanding and communication of three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.
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Affiliation(s)
- Shujie Deng
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Gavin Wheeler
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Nicolas Toussaint
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Lindsay Munroe
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Suryava Bhattacharya
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Gina Sajith
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Ei Lin
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Eeshar Singh
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Ka Yee Kelly Chu
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
| | - Saleha Kabir
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas’ National Health Service Foundation Trust, London SE1 7EH, UK;
| | - Kuberan Pushparajah
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas’ National Health Service Foundation Trust, London SE1 7EH, UK;
| | - John M. Simpson
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
- Department of Congenital Heart Disease, Evelina London Children’s Hospital, Guy’s and St Thomas’ National Health Service Foundation Trust, London SE1 7EH, UK;
| | - Julia A. Schnabel
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
- Department of Informatics, Technische Universität München, 85748 Garching, Germany
- Helmholtz Zentrum München—German Research Center for Environmental Health, 85764 Neuherberg, Germany
| | - Alberto Gomez
- School of Biomedical Engineering & Imaging Sciences, King’s College London, London SE1 7EU, UK; (S.D.); (G.W.); (N.T.); (L.M.); (S.B.); (G.S.); (E.L.); (E.S.); (K.Y.K.C.); (K.P.); (J.M.S.); (J.A.S.)
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Pushparajah K, Chu KYK, Deng S, Wheeler G, Gomez A, Kabir S, Schnabel JA, Simpson JM. Virtual reality three-dimensional echocardiographic imaging for planning surgical atrioventricular valve repair. JTCVS Tech 2021; 7:269-277. [PMID: 34100000 PMCID: PMC8169455 DOI: 10.1016/j.xjtc.2021.02.044] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 02/24/2021] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES To investigate how virtual reality (VR) imaging impacts decision-making in atrioventricular valve surgery. METHODS This was a single-center retrospective study involving 15 children and adolescents, median age 6 years (range, 0.33-16) requiring surgical repair of the atrioventricular valves between the years 2016 and 2019. The patients' preoperative 3-dimesnional (3D) echocardiographic data were used to create 3D visualization in a VR application. Five pediatric cardiothoracic surgeons completed a questionnaire formulated to compare their surgical decisions regarding the cases after reviewing conventionally presented 2-dimesnional and 3D echocardiographic images and again after visualization of 3D echocardiograms using the VR platform. Finally, intraoperative findings were shared with surgeons to confirm assessment of the pathology. RESULTS In 67% of cases presented with VR, surgeons reported having "more" or "much more" confidence in their understanding of each patient's pathology and their surgical approach. In all but one case, surgeons were at least as confident after reviewing the VR compared with standard imaging. The case where surgeons reported to be least confident on VR had the worst technical quality of data used. After viewing patient cases on VR, surgeons reported that they would have made minor modifications to surgical approach in 53% and major modifications in 7% of cases. CONCLUSIONS The main impact of viewing imaging on VR is the improved clarity of the anatomical structures. Surgeons reported that this would have impacted the surgical approach in the majority of cases. Poor-quality 3D echocardiographic data were associated with a negative impact of VR visualization; thus. quality assessment of imaging is necessary before projecting in a VR format.
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Affiliation(s)
- Kuberan Pushparajah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Ka Yee Kelly Chu
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Shujie Deng
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Gavin Wheeler
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Alberto Gomez
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - Saleha Kabir
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
| | - Julia A. Schnabel
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
| | - John M. Simpson
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom
- Department of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom
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Lareyre F, Chaudhuri A, Adam C, Carrier M, Mialhe C, Raffort J. Applications of Head-Mounted Displays and Smart Glasses in Vascular Surgery. Ann Vasc Surg 2021; 75:497-512. [PMID: 33823254 DOI: 10.1016/j.avsg.2021.02.033] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 02/22/2021] [Accepted: 02/25/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVES Advances in virtual, augmented and mixed reality have led to the development of wearable technologies including head mounted displays (HMD) and smart glasses. While there is a growing interest on their potential applications in health, only a few studies have addressed so far their use in vascular surgery. The aim of this review was to summarize the fundamental notions associated with these technologies and to discuss potential applications and current limits for their use in vascular surgery. METHODS A comprehensive literature review was performed to introduce the fundamental concepts and provide an overview of applications of HMD and smart glasses in surgery. RESULTS HMD and smart glasses demonstrated a potential interest for the education of surgeons including anatomical teaching, surgical training, teaching and telementoring. Applications for pre-surgical planning have been developed in general and cardiac surgery and could be transposed for a use in vascular surgery. The use of wearable technologies in the operating room has also been investigated in both general and cardiovascular surgery and demonstrated its potential interest for image-guided surgery and data collection. CONCLUSION Studies performed so far represent a proof of concept of the interest of HMD and smart glasses in vascular surgery for education of surgeons and for surgical practice. Although these technologies exhibited encouraging results for applications in vascular surgery, technical improvements and further clinical research in large series are required before hoping using them in daily clinical practice.
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Affiliation(s)
- Fabien Lareyre
- Department of Vascular Surgery, Hospital of Antibes-Juan-les-Pins, France; Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France.
| | - Arindam Chaudhuri
- Bedfordshire-Milton Keynes Vascular Centre, Bedfordshire Hospitals NHS Foundation Trust, Bedford, UK
| | - Cédric Adam
- Laboratory of Applied Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, France
| | - Marion Carrier
- Laboratory of Applied Mathematics and Computer Science (MICS), CentraleSupélec, Université Paris-Saclay, France
| | - Claude Mialhe
- Cardiovascular Surgery Unit, Cardio Thoracic Centre of Monaco, Monaco
| | - Juliette Raffort
- Université Côte d'Azur, CHU, Inserm U1065, C3M, Nice, France; Clinical Chemistry Laboratory, University Hospital of Nice, France
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Javaid M, Khan IH. Virtual Reality (VR) Applications in Cardiology: A Review. JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT 2021. [DOI: 10.1142/s2424862221300015] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Virtual reality (VR) has applications in cardiology to create enhancement, thereby improving the quality of associated planning, treatment and surgery. The need is to study different applications of this technology in the field of cardiology. We have studied research papers on VR and its applications in cardiology through a detailed bibliometric analysis. The study identified five significant steps for proper implementation of this technology in cardiology. Some challenges are to be undertaken by using this technology, and they can provide some benefits; thus, authors contemplate extensive research and development. This study also identifies 10 major VR technology applications in cardiology and provided a brief description. This innovative technology helps a heart surgeon to perform complex heart surgery effectively. Thus, VR applications have the potential for improving decision-making, which helps save human life. VR plays a significant role in the development of a surgical procedure. This technology undertakes 3D heart model information in full colour, which helps to analyze the overall heart vane, blockage and blood flow. With the help of this digital technology, a surgeon can improve the accuracy of heart surgery, and he can simulate the surgery. A surgeon can undertake surgery in a virtual environment on a virtual patient. The unique purpose of this technology is to practice pre-operatively on the specific circumstance. A cardiologist can also check the proper status of inner and outer heart wall layer. Thus, by using this 3D information, the surgeon can now interact with heart data/information without any physical touch. This technology opens a new opportunity to improve the heart surgery and development in cardiovascular treatment to improve patient outcome.
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Affiliation(s)
- Mohd Javaid
- Department of Mechanical Engineering, Jamia Millia Islamia, New Delhi, India
| | - Ibrahim Haleem Khan
- School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India
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