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The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus.
Danese, Carla; Kale, Aditya U; Aslam, Tariq; Lanzetta, Paolo; Barratt, Jane; Chou, Yu-Bai; Eldem, Bora; Eter, Nicole; Gale, Richard; Korobelnik, Jean-François; Kozak, Igor; Li, Xiaorong; Li, Xiaoxin; Loewenstein, Anat; Ruamviboonsuk, Paisan; Sakamoto, Taiji; Ting, Daniel S W; van Wijngaarden, Peter; Waldstein, Sebastian M; Wong, David; Wu, Lihteh; Zapata, Miguel A; Zarranz-Ventura, Javier.
Afiliación
  • Danese C; Department of Medicine - Ophthalmology, University of Udine, Udine, Italy.
  • Kale AU; Department of Ophthalmology, AP-HP Hôpital Lariboisière, Université Paris Cité, Paris, France.
  • Aslam T; Academic Unit of Ophthalmology, Institute of Inflammation & Ageing, College of Medical and Dental Sciences, University of Birmingham, Birmingham.
  • Lanzetta P; Division of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, University of Manchester School of Health Sciences, Manchester, UK.
  • Barratt J; Department of Medicine - Ophthalmology, University of Udine, Udine, Italy.
  • Chou YB; Istituto Europeo di Microchirurgia Oculare, Udine, Italy.
  • Eldem B; International Federation on Ageing, Toronto, Canada.
  • Eter N; Department of Ophthalmology, Taipei Veterans General Hospital.
  • Gale R; School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
  • Korobelnik JF; Department of Ophthalmology, Hacettepe University, Ankara, Turkey.
  • Kozak I; Department of Ophthalmology, University of Münster Medical Center, Münster, Germany.
  • Li X; Department of Ophthalmology, York Teaching Hospital NHS Foundation Trust, York, UK.
  • Li X; Service d'ophtalmologie, CHU Bordeaux.
  • Loewenstein A; University of Bordeaux, INSERM, BPH, UMR1219, F-33000 Bordeaux, France.
  • Ruamviboonsuk P; Moorfields Eye Hospital Centre, Abu Dhabi, UAE.
  • Sakamoto T; 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.
  • Ting DSW; Xiamen Eye Center, Xiamen University, Xiamen, China.
  • van Wijngaarden P; Division of Ophthalmology, Tel Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Waldstein SM; Department of Ophthalmology, College of Medicine, Rangsit University, Rajavithi Hospital, Bangkok, Thailand.
  • Wong D; Department of Ophthalmology, Kagoshima University, Kagoshima, Japan.
  • Wu L; Singapore National Eye Center, Duke-NUS Medical School, Singapore.
  • Zapata MA; Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia.
  • Zarranz-Ventura J; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Victoria, Australia.
Curr Opin Ophthalmol ; 34(5): 396-402, 2023 Sep 01.
Article en En | MEDLINE | ID: mdl-37326216
ABSTRACT
PURPOSE OF REVIEW The aim of this review is to define the "state-of-the-art" in artificial intelligence (AI)-enabled devices that support the management of retinal conditions and to provide Vision Academy recommendations on the topic. RECENT

FINDINGS:

Most of the AI models described in the literature have not been approved for disease management purposes by regulatory authorities. These new technologies are promising as they may be able to provide personalized treatments as well as a personalized risk score for various retinal diseases. However, several issues still need to be addressed, such as the lack of a common regulatory pathway and a lack of clarity regarding the applicability of AI-enabled medical devices in different populations.

SUMMARY:

It is likely that current clinical practice will need to change following the application of AI-enabled medical devices. These devices are likely to have an impact on the management of retinal disease. However, a consensus needs to be reached to ensure they are safe and effective for the overall population.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades de la Retina / Inteligencia Artificial Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Curr Opin Ophthalmol Asunto de la revista: OFTALMOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades de la Retina / Inteligencia Artificial Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: Curr Opin Ophthalmol Asunto de la revista: OFTALMOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Italia