Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases: Vision Academy retinal expert consensus.

Autor:	Chou YB; Department of Ophthalmology, Taipei Veterans General Hospital.; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan., Kale AU; Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK., Lanzetta P; Department of Medicine - Ophthalmology, University of Udine.; Istituto Europeo di Microchirurgia Oculare, Udine, Italy., Aslam T; Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester School of Health Sciences, Manchester, UK., Barratt J; International Federation on Ageing, Toronto, Canada., Danese C; Department of Medicine - Ophthalmology, University of Udine.; Department of Ophthalmology, AP-HP Hôpital Lariboisière, Université Paris Cité, Paris, France., Eldem B; Department of Ophthalmology, Hacettepe University, Ankara, Turkey., Eter N; Department of Ophthalmology, University of Münster Medical Center, Münster, Germany., Gale R; Department of Ophthalmology, York Teaching Hospital NHS Foundation Trust, York, UK., Korobelnik JF; Service d'ophtalmologie, CHU Bordeaux.; University of Bordeaux, INSERM, BPH, UMR1219, F-33000 Bordeaux, France., Kozak I; Moorfields Eye Hospital Centre, Abu Dhabi, UAE., Li X; Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin Branch of National Clinical Research Center for Ocular Disease, Eye Institute and School of Optometry, Tianjin Medical University Eye Hospital, Tianjin., Li X; Xiamen Eye Center, Xiamen University, Xiamen, China., Loewenstein A; Division of Ophthalmology, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Ruamviboonsuk P; Department of Ophthalmology, College of Medicine, Rangsit University, Rajavithi Hospital, Bangkok, Thailand., Sakamoto T; Department of Ophthalmology, Kagoshima University, Kagoshima, Japan., Ting DSW; Singapore National Eye Center, Duke-NUS Medical School, Singapore., van Wijngaarden P; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia.; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia., Waldstein SM; Department of Ophthalmology, Landesklinikum Mistelbach-Gänserndorf, Mistelbach, Austria., Wong D; Unity Health Toronto - St. Michael's Hospital, University of Toronto, Toronto, Canada., Wu L; Macula, Vitreous and Retina Associates of Costa Rica, San José, Costa Rica., Zapata MA; Ophthalmology Department, Hospital Vall d'Hebron., Zarranz-Ventura J; Hospital Clínic de Barcelona, University of Barcelona, Barcelona, Spain.
Jazyk:	angličtina
Zdroj:	Current opinion in ophthalmology [Curr Opin Ophthalmol] 2023 Sep 01; Vol. 34 (5), pp. 403-413. Date of Electronic Publication: 2023 Jul 13.
DOI:	10.1097/ICU.0000000000000979
Abstrakt:	Purpose of Review: The application of artificial intelligence (AI) technologies in screening and diagnosing retinal diseases may play an important role in telemedicine and has potential to shape modern healthcare ecosystems, including within ophthalmology. Recent Findings: In this article, we examine the latest publications relevant to AI in retinal disease and discuss the currently available algorithms. We summarize four key requirements underlining the successful application of AI algorithms in real-world practice: processing massive data; practicability of an AI model in ophthalmology; policy compliance and the regulatory environment; and balancing profit and cost when developing and maintaining AI models. Summary: The Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions. (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
Databáze:	MEDLINE
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