Application of artificial intelligence-assisted diagnostic system for community-based cataract screening
Journal Title: Eye Science (Yanke Xuebao) - Year 2021, Vol 36, Issue 1
Abstract
[Objective:] To evaluate the effectiveness of an artificial intelligence-assisted diagnostic system for cataract screening in community. [Methods:] A prospective observational study was carried out based on a telemedicine platform. Patient history, medical records and anterior ocular segment images were collected and transmitted from community healthcare centers to Zhongshan Ophthalmic Center for evaluation by both ophthalmologists and artificial intelligence-assisted cataract diagnostic system. [Results:] Of all enumerated subjects, 35.7% were male and the median age was 66 years old. Of all enumerated slit-lamp images, 98.7% met the requirement of acceptable quality. This artificial intelligence-assisted diagnostic system achieved an AUC of 0.915 for detection of severe cataracts in the external validation dataset. For subjects who were advised to be referred to tertiary hospitals by doctors, 80.3% of them received the same suggestion from this artificial intelligence-assisted diagnostic system. [Conclusion:] This artificial intelligence-assisted cataract diagnostic system showed high applicability and accuracy in community-based cataract screening and could be a potential model of care in community-based disease screening.
Authors and Affiliations
Xiaohang WU, Lixue LIU, Jingjing CHEN, Weiyi LAI, Duoru LIN, Pisong YAN, Yizhi LIU, Haotian LIN
Keywords
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- EP ID EP763457
- DOI 10.3978/j.issn.1000-4432.2021.01.18
- Views 16
- Downloads 0
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