Applications of artificial intelligence to inherited retinal diseases: A systematic review

被引：0
作者：
Issa, Mohamad [1 ]
Sukkarieh, Georges [1 ]
Gallardo, Mathias [1 ]
Sarbout, Ilias [1 ,2 ]
Bonnin, Sophie [1 ]
Tadayoni, Ramin [1 ,3 ]
Milea, Dan [1 ,4 ,5 ,6 ,7 ]
机构：
[1] Rothschild Fdn Hosp, Paris, France
[2] Sorbonne Univ, Paris, France
[3] Univ Paris Cite, Hop Lariboisiere, AP HP, Ophthalmol Dept, Paris, France
[4] Singapore Eye Res Inst, Singapore, Singapore
[5] Univ Copenhagen, Copenhagen, Denmark
[6] Angers Univ Hosp, Angers, France
[7] Duke NUS Med Sch, Singapore, Singapore
来源：
SURVEY OF OPHTHALMOLOGY | 2025年 / 70卷 / 02期
关键词：
Artificial intelligence; Deep-learning; Machine-learning; Retinal dystrophies; Inherited retinal diseases; Retinitis pigmentosa; OPTICAL COHERENCE TOMOGRAPHY; IMAGES;
D O I：
10.1016/j.survophthal.2024.11.007
中图分类号：
R77 [眼科学];
学科分类号：
100212 ;
摘要：
Artificial intelligence(AI)-based methods have been extensively used for the detection and management of various common retinal conditions, but their targeted development for inherited retinal diseases (IRD) is still nascent. In the context of limited availability of retinal subspecialists, genetic testing and genetic counseling, there is a high need for accurate and accessible diagnostic methods. The currently available AI studies, aiming for detection, classification, and prediction of IRD, remain mainly retrospective and include relatively limited numbers of patients due to their scarcity. We summarize the latest findings and clinical implications of machinelearning algorithms in IRD, highlighting the achievements and challenges of AI to assist ophthalmologists in their clinical practice.
引用
收藏
页码：255 / 264
页数：10
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