The impact of artificial intelligence on retinal disease management: Vision Academy retinal expert consensus

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 ap...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
ARTIFICIAL INTELLIGENCE/BIG DATA: Edited by Daniel Ting and Ehsan Rahimy
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399953/
https://www.ncbi.nlm.nih.gov/pubmed/37326216
http://dx.doi.org/10.1097/ICU.0000000000000980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10399953/
https://www.ncbi.nlm.nih.gov/pubmed/37326216
http://dx.doi.org/10.1097/ICU.0000000000000980

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