Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study.

Journal: The Lancet. Digital health
PMID:

Abstract

BACKGROUND: Medical artificial intelligence (AI) has entered the clinical implementation phase, although real-world performance of deep-learning systems (DLSs) for screening fundus disease remains unsatisfactory. Our study aimed to train a clinically applicable DLS for fundus diseases using data derived from the real world, and externally test the model using fundus photographs collected prospectively from the settings in which the model would most likely be adopted.

Authors

  • Duoru Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Jianhao Xiong
    Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • Congxin Liu
    Beijing Tulip Partners Technology Co., Ltd, Beijing, China.
  • Lanqin Zhao
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China.
  • Zhongwen Li
    Ningbo Key Laboratory of Medical Research on Blinding Eye Diseases, Ningbo Eye Institute, Ningbo Eye Hospital, Wenzhou Medical University, Ningbo, China.
  • Shanshan Yu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Xiaohang Wu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Xian Lie South Road 54#, Guangzhou, 510060, China.
  • Zongyuan Ge
    AIM for Health Lab, Faculty of IT, Monash University, Clayton, Victoria, Australia; Monash-Airdoc Research Lab, Faculty of IT, Monash University, Clayton, Victoria, Australia.
  • Xinyue Hu
    Beijing Eaglevision Technology Development, Beijing, China.
  • Bin Wang
    State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Yangling 712100, China; New South Wales Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga 2650, Australia. Electronic address: bin.a.wang@dpi.nsw.gov.au.
  • Meng Fu
    Beijing Airdoc Technology Co., Ltd., Beijing 100081, China.
  • Xin Zhao
    Florida International University.
  • Xin Wang
    Key Laboratory of Bio-based Material Science & Technology (Northeast Forestry University), Ministry of Education, Harbin 150040, China.
  • Yi Zhu
    2State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong China.
  • Chuan Chen
    Information Security Center, State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Yonghao Li
    Department of Neuroscience, University of British Columbia, Vancouver, BC, Canada.
  • Wenbin Wei
    Clinical Center for Eye Tumors, Capital Medical University, Beijing, 100730, China; Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, No. 1 Dongjiaominxiang Stree, Dongcheng District, Beijing, 100730, China; Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing 100730, China. Electronic address: weiwenbintr@163.com.
  • Mingwei Zhao
    Department of Ophthalmology, Ophthalmology and Optometry Centre, Peking University People's Hospital, Beijing, China.
  • Jianqiao Li
    Department of Ophthalmology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Fan Xu
    Department of Public Health, Chengdu Medical College, Sichuan, China.
  • Lin Ding
    Faculty of Psychology, Tianjin Normal University, Tianjin, China.
  • Gang Tan
    Department of Ophthalmology, University of South China, Hengyang, Hunan, China.
  • Yi Xiang
    Department of Ophthalmology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
  • Yongcheng Hu
    Bayannur Paralympic Eye Hospital, Bayannur, Inner Mongolia, China.
  • Ping Zhang
    Department of Computer Science and Engineering, The Ohio State University, USA.
  • Yu Han
    Department of Neurology, The First Affiliated Hospital, Dalian Medical University, Dalian, China.
  • Ji-Peng Olivia Li
    Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom.
  • Lai Wei
  • Pengzhi Zhu
    Guangdong Medical Devices Quality Surveillance and Test Institute, Guangzhou, Guangdong, China.
  • Yizhi Liu
    School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, China.
  • Weirong Chen
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
  • Daniel S W Ting
    Singapore National Eye Center, Duke-National University of Singapore Medical School, Singapore 168751, Singapore; National Institutes of Health Research Biomedical Research Centre Biomedical Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK. Electronic address: daniel.ting.s.w@singhealth.com.sg.
  • Tien Y Wong
    Singapore National Eye Center, Duke-NUS Medical School, National University of Singapore, Singapore, Singapore.
  • Yuzhong Chen
    School of Material Science and Engineering, Shandong University, Jinan, China.
  • Haotian Lin
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou.