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 - Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
PY - 2023/9/1
Y1 - 2023/9/1
N2 - 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.
AB - 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.
KW - Humans
KW - Artificial Intelligence
KW - Consensus
KW - Ecosystem
KW - Algorithms
KW - Retinal Diseases/diagnosis
KW - retina
KW - diagnosis
KW - retinal imaging
KW - artificial intelligence
UR - http://www.scopus.com/inward/record.url?scp=85167842240&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/e32d4e02-21af-3d2c-a6bc-ae1bfaf66c39/
U2 - 10.1097/ICU.0000000000000979
DO - 10.1097/ICU.0000000000000979
M3 - Review article
C2 - 37326222
SN - 1040-8738
VL - 34
SP - 403
EP - 413
JO - Current opinion in ophthalmology
JF - Current opinion in ophthalmology
IS - 5
ER -