TY - JOUR
T1 - Current status and practical considerations of artificial intelligence use in screening and diagnosing retinal diseases
T2 - Vision Academy retinal expert consensus
AU - Chou, Yu Bai
AU - Kale, Aditya U.
AU - Lanzetta, Paolo
AU - Aslam, Tariq
AU - Barratt, Jane
AU - Danese, Carla
AU - Eldem, Bora
AU - Eter, Nicole
AU - Gale, Richard
AU - Korobelnik, Jean François
AU - Kozak, Igor
AU - Li, Xiaorong
AU - Li, Xiaoxin
AU - Loewenstein, Anat
AU - Ruamviboonsuk, Paisan
AU - Sakamoto, Taiji
AU - Ting, Daniel S.W.
AU - Van Wijngaarden, Peter
AU - Waldstein, Sebastian M.
AU - Wong, David
AU - Wu, Lihteh
AU - Zapata, Miguel A.
AU - Zarranz-Ventura, Javier
N1 - Publisher Copyright:
© 2023 Lippincott Williams and Wilkins. All rights reserved.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - Purpose of reviewThe 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 findingsIn 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.SummaryThe Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions.
AB - Purpose of reviewThe 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 findingsIn 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.SummaryThe Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions.
KW - artificial intelligence
KW - diagnosis
KW - retina
KW - retinal imaging
UR - http://www.scopus.com/inward/record.url?scp=85167842240&partnerID=8YFLogxK
U2 - 10.1097/ICU.0000000000000979
DO - 10.1097/ICU.0000000000000979
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C2 - 37326222
AN - SCOPUS:85167842240
SN - 1040-8738
VL - 34
SP - 403
EP - 413
JO - Current Opinion in Ophthalmology
JF - Current Opinion in Ophthalmology
IS - 5
ER -