眼科和人工智能:眼睛作为健康跨度的生物标志物
Joy Le Yi Wong1, Haoran Cheng2, Wen Jun Peh3
1Singapore National Eye Centre, Singapore Eye Research Institute, Singapore.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
|January 21, 2026
概括
人口老龄化需要更好的健康指标. 眼睛结构和人工智能提供了评估生物年龄和系统性健康风险的非侵入性方法.
科学领域:
- 眼科医生 眼科 眼科
- 老年学是指老年学的学科.
- 生物标志物发现发现
背景情况:
- 医疗保健的重点转移到健康寿命,而不仅仅是寿命.
- 需要具有成本效益的,非侵入性的健康生物标志物.
- 眼睛为系统血管和神经健康提供了洞察力.
研究的目的:
- 审查眼睛结构作为健康跨度生物标志物.
- 探索人工智能 (AI) 在衰老研究中的应用.
- 从基础科学,动物模型和人体试验中综合证据.
主要方法:
- 眼睛成像技术. 眼睛成像技术.
- 眼睛的代谢学和蛋白质学.
- 审查现有的科学文献和临床试验数据.
主要成果:
- 各种眼睛结构显示出作为健康跨度生物标志物的潜力.
- 人工智能在预测生物年龄方面表现有前途.
- 人工智能有助于识别与年龄相关的系统性疾病的风险.
结论:
- 眼部生物标志物和人工智能是健康跨度评估的宝贵工具.
- 基于眼睛的非侵入性方法可以促进对衰老因素的早期干预.
- 与人工智能的多式联网数据集成增强了对老化过程的理解.
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