远程医疗
青光眼
医学
人工智能
眼科
计算机科学
医疗保健
经济
经济增长
作者
Mark Christopher,Shahin Hallaj,Anuwat Jiravarnsirikul,Sally L. Baxter,Linda M. Zangwill
出处
期刊:Journal of Glaucoma
[Lippincott Williams & Wilkins]
日期:2024-03-20
卷期号:33 (8S): S26-S32
被引量:10
标识
DOI:10.1097/ijg.0000000000002367
摘要
Leveraging novel technologies and advances in telemedicine and AI-based approaches to glaucoma detection show promise for improving our ability to detect moderate and advanced glaucoma in primary care settings and target higher individuals at high risk for having the disease.
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