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Artificial Intelligence for Early Detection of Pediatric Eye Diseases Using Mobile Photos.

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第一作者： Qin,Shu

第一单位： Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.;Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China.

作者： Qin,Shu ^[1] ; Jiali,Pang ^[2] ; Zijia,Liu ^[3] ; Xiaoyi,Liang ^[1] ; Moxin,Chen ^[1] ; Zhuoran,Tao ^[1] ; Qianwen,Liu ^[1] ; Yonglin,Guo ^[1] ; Xuefeng,Yang ^[1] ; Jinru,Ding ^[2] ; Ruiyao,Chen ^[2] ; Sujing,Wang ^[4] ; Wenjing,Li ^[1] ; Guangtao,Zhai ^[3] ; Jie,Xu ^[2] ; Lin,Li ^[1]

作者单位： Department of Ophthalmology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.;Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Shanghai, China. ^[1] Shanghai Artificial Intelligence Laboratory, Shanghai, China. ^[2] Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China. ^[3] Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China. ^[4]

医学主题词人类(Humans);女(雌)性(Female);男(雄)性(Male);横断面研究(Cross-Sectional Studies);儿童(Child);儿童, 学龄前(Child, Preschool);人工智能(Artificial Intelligence);摄影术(Photography);早期诊断(Early Diagnosis);近视(Myopia);斜视(Strabismus);眼睑下垂(Blepharoptosis);敏感性与特异性(Sensitivity and Specificity);中国(China);眼疾病(Eye Diseases);青少年(Adolescent)

DOI 10.1001/jamanetworkopen.2024.25124

PMID 39106068

发布时间 2025-02-27

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