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

被引：7

作者：

Chou, Yu-Bai ^{[1
,2
]}

Kale, Aditya U. ^{[3
]}

Lanzetta, Paolo ^{[4
,5
,29
]}

Aslam, Tariq ^{[6
]}

Barratt, Jane ^{[7
]}

Danese, Carla ^{[4
,8
]}

Eldem, Bora ^{[9
]}

Eter, Nicole ^{[10
]}

Gale, Richard ^{[11
]}

Korobelnik, Jean-Francois ^{[12
,13
]}

Kozak, Igor ^{[14
]}

Li, Xiaorong ^{[15
,16
]}

Li, Xiaoxin ^{[17
]}

Loewenstein, Anat ^{[18
]}

Ruamviboonsuk, Paisan ^{[19
]}

Sakamoto, Taiji ^{[20
]}

Ting, Daniel S. W. ^{[21
]}

van Wijngaarden, Peter ^{[22
,23
]}

Waldstein, Sebastian M. ^{[24
]}

Wong, David ^{[25
]}

Wu, Lihteh ^{[26
]}

Zapata, Miguel A. ^{[27
]}

Zarranz-Ventura, Javier ^{[28
]}

机构：

[1] Taipei Vet Gen Hosp, Dept Ophthalmol, Taipei, Taiwan

[2] Natl Yang Ming Chiao Tung Univ, Sch Med, Taipei, Taiwan

[3] Univ Birmingham, Inst Inflammat & Ageing, Coll Med & Dent Sci, Acad Unit Ophthalmol, Birmingham, England

[4] Univ Udine, Dept Med Ophthalmol, Udine, Italy

[5] Ist Europeo Microchirurg Oculare, Udine, Italy

[6] Univ Manchester, Fac Biol Med & Hlth, Div Pharm & Optometry, Sch Hlth Sci, Manchester, England

[7] Int Federat Ageing, Toronto, ON, Canada

[8] Univ Paris Cite, AP HP Hop Lariboisiere, Dept Ophthalmol, Paris, France

[9] Hacettepe Univ, Dept Ophthalmol, Ankara, Turkiye

[10] Univ Munster, Dept Ophthalmol, Med Ctr, Munster, Germany

[11] York Teaching Hosp NHS Fdn Trust, Dept Ophthalmol, York, England

[12] CHU Bordeaux, Serv Ophtalmol, Bordeaux, France

[13] Univ Bordeaux, INSERM, BPH, UMR1219, F-33000 Bordeaux, France

[14] Moorfields Eye Hosp Ctr, Abu Dhabi, U Arab Emirates

[15] Tianjin Med Univ Eye Hosp, Tianjin Key Lab Retinal Funct & Dis, Tianjin Branch, Natl Clin Res Ctr Ocular Dis,Eye Inst, Tianjin, Peoples R China

[16] Tianjin Med Univ Eye Hosp, Sch Optometry, Tianjin, Peoples R China

[17] Xiamen Univ, Xiamen Eye Ctr, Xiamen, Peoples R China

[18] Tel Aviv Univ, Sackler Fac Med, Tel Aviv Sourasky Med Ctr, Div Ophthalmol, Tel Aviv, Israel

[19] Rangsit Univ, Rajavithi Hosp, Coll Med, Dept Ophthalmol, Bangkok, Thailand

[20] Kagoshima Univ, Dept Ophthalmol, Kagoshima, Japan

[21] Singapore Natl Eye Ctr, Duke NUS Med Sch, Singapore, Singapore

[22] Univ Melbourne, Dept Surg, Ophthalmol, Melbourne, Australia

[23] Royal Victorian Eye & Ear Hosp, Ctr Eye Res Australia, East Melbourne, Vic, Australia

[24] Landesklinikum Mistelbach Ganserndorf, Dept Ophthalmol, Mistelbach, Austria

[25] Univ Toronto, Unity Hlth Toronto, St Michaels Hosp, Toronto, ON, Canada

[26] Macula Vitreous & Retina Associates Costa Rica, San Jose, Costa Rica

[27] Hosp Valle De Hebron, Ophthalmol Dept, Barcelona, Spain

[28] Univ Barcelona, Hosp Clin Barcelona, Barcelona, Spain

[29] Univ Udine, Dept Med Ophthalmol, I-33100 Udine, Italy

来源：

CURRENT OPINION IN OPHTHALMOLOGY | 2023年 / 34卷 / 05期

关键词：

artificial intelligence; diagnosis; retina; retinal imaging; DIABETIC-RETINOPATHY; AUTOMATED DETECTION; MACULAR DEGENERATION; FUNDUS PHOTOGRAPHY; VALIDATION; IMAGES; QUANTIFICATION; PREDICTION; PROGRAM; SYSTEMS;

D O I：

10.1097/ICU.0000000000000979

中图分类号：

R77 [眼科学];

学科分类号：

100212 ;

摘要：

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.The Vision Academy recognizes the advantages and disadvantages of AI-based technologies and gives insightful recommendations for future directions.

引用

页码：403 / 413

页数：11

共 13 条

[1] 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-Francois
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
[J]. CURRENT OPINION IN OPHTHALMOLOGY, 2023, 34 (05) : 396 - 402
[2] Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases
Dong, Li
He, Wanji
Zhang, Ruiheng
Ge, Zongyuan
Wang, Ya Xing
Zhou, Jinqiong
Xu, Jie
Shao, Lei
Wang, Qian
Yan, Yanni
Xie, Ying
Fang, Lijian
Wang, Haiwei
Wang, Yenan
Zhu, Xiaobo
Wang, Jinyuan
Zhang, Chuan
Wang, Heng
Wang, Yining
Chen, Rongtian
Wan, Qianqian
Yang, Jingyan
Zhou, Wenda
Li, Heyan
Yao, Xuan
Yang, Zhiwen
Xiong, Jianhao
Wang, Xin
Huang, Yelin
Chen, Yuzhong
Wang, Zhaohui
Rong, Ce
Gao, Jianxiong
Zhang, Huiliang
Wu, Shouling
Jonas, Jost B.
Wei, Wen Bin
[J]. JAMA NETWORK OPEN, 2022, 5 (05) : E229960
[3] Artificial intelligence in retinal imaging: current status and future prospects
Heger, Katharina A.
Waldstein, Sebastian M.
[J]. EXPERT REVIEW OF MEDICAL DEVICES, 2024, 21 (1-2) : 73 - 89
[4] A comprehensive review of artificial intelligence models for screening major retinal diseases
Hassan, Bilal
Raja, Hina
Hassan, Taimur
Akram, Muhammad Usman
Raja, Hira
Abd-Alrazaq, Alaa A.
Yousefi, Siamak
Werghi, Naoufel
[J]. ARTIFICIAL INTELLIGENCE REVIEW, 2024, 57 (05)
[5] Research progress on diagnosing retinal vascular diseases based on artificial intelligence and fundus images
Ji, Yuke
Ji, Yun
Liu, Yunfang
Zhao, Ying
Zhang, Liya
[J]. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
[6] Use of artificial intelligence algorithms to predict systemic diseases from retinal images
Khan, Rehana
Surya, Janani
Roy, Maitreyee
Priya, M. N. Swathi
Mohan, Sashwanthi
Raman, Sundaresan
Raman, Akshay
Vyas, Abhishek
Raman, Rajiv
[J]. WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 2023, 13 (05)
[7] Use of artificial intelligence to evaluate the detection of retinal alterations as a screening test in Mexican patients
Argueta-Santillan, Moises
Mahuina Campos-Castolo, E.
Angel Mendez-Lucero, Miguel
Lima-Sanchez, Dania N.
Fabricio Urbina-Gonzalez, Josue
Ceron-Solis, Orlando
Alayola-Sansores, Alejandro
Fajardo-Dolci, German
[J]. INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS, 2021, 12 (03): : 79 - 86
[8] Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening
Zhang, Ruiheng
Dong, Li
Fu, Xuefei
Hua, Lin
Zhou, Wenda
Li, Heyan
Wu, Haotian
Yu, Chuyao
Li, Yitong
Shi, Xuhan
Ou, Yangjie
Zhang, Bing
Wang, Bin
Ma, Zhiqiang
Luo, Yuan
Yang, Meng
Chang, Xiangang
Wang, Zhaohui
Wei, Wenbin
[J]. TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2024, 13 (04): : 28
[9] THE PRACTICAL USE OF ARTIFICIAL-INTELLIGENCE IN AUTOMATED TUTORING - CURRENT STATUS AND IMPEDIMENTS TO PROGRESS
MCCALLA, GI
GREER, JE
[J]. UNDERSTANDING LITERACY AND COGNITION: THEORY, RESEARCH, AND APPLICATION, 1989, : 131 - 155
[10] Retinal image-based artificial intelligence in detecting and predicting kidney diseases: Current advances and future perspectives
Wen, Jingyi
Liu, Dong
Wu, Qianni
Zhao, Lanqin
Iao, Wai Cheng
Lin, Haotian
[J]. VIEW, 2023, 4 (03)

← 1 2 →