白内障人工智能辅助诊断系统在社区筛查中的应用效果

Application of artificial intelligence-assisted diagnostic system for community-based cataract screening

目的:评估白内障人工智能辅助诊断系统在社区筛查中的应用效果。方法:采用前瞻性观察性研究方法对白内障人工辅助诊断系统的应用效果进行分析,结合远程医疗的模式,由社区卫生人员对居民进行病史采集、视力检查和裂隙灯眼前节检查等,将数据上传至云平台,由白内障人工智能辅助诊断系统和人类医生依次进行白内障评估。结果:受检人群中男性所占比例为35.7%,年龄中位数为66岁,裂隙灯眼前节照片有98.7%的图像质量合格。该白内障人工智能辅助诊断系统在外部验证集中检出重度白内障的曲线下面积为0.915。在人类医生建议转诊的病例中,有80.3%也由人工智能系统给出了相同的建议。结论:该白内障人工智能辅助诊断系统在白内障社区筛查的应用中具有较好的可行性和准确性,为开展社区筛查疾病提供了参考依据。

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.