应用人工智能从眼睛提供医疗保健
Robert N Weinreb1,2, Aaron Y Lee3, Sally L Baxter1,2,4
1Viterbi Family Department of Ophthalmology, University of California, San Diego, La Jolla.
JAMA ophthalmology
|May 8, 2025
概括
眼科利用人工智能 (AI) 分析视网膜图像,以便在无症状个体中早期检测疾病. 这种方法,即 Healthcare From the Eye预先选,可以在全球范围内提高医疗保健的获取,公平性和质量.
科学领域:
- 眼科,用于疾病识别和管理的眼部数据的分析.
- 整合人工智能 (AI) 与眼睛成像用于系统性疾病预查.
背景情况:
- 当前的医疗保健系统面临着在获取,负担能力和公平性方面的挑战.
- 眼部数据分析为早期疾病检测提供了一条新的途径.
研究的目的:
- 探索人工智能驱动的视网膜图像分析在眼睛和全身疾病预查中的作用.
- 评估"从眼睛看医疗保健"预先查的潜力,以改善全球医疗保健供应.
主要方法:
- 利用人工智能分析通过非侵入性,自动化的设备捕获的视网膜图像.
- 实施协调护理系统,以在利益相关者之间数字化传播检查结果.
主要成果:
- 人工智能对视网膜图像的分析使得大规模的慢性疾病预选成为可能.
- 视网膜成像可以在各种环境中快速和非侵入性地进行.
结论:
- 人工智能驱动的眼膜预查可以通过改善早期疾病检测和获取来改变医疗保健.
- 有效实施需要医生,纳税人,政策制定者和行业利益相关者之间的合作,以实现公平的系统.
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