眼睛是洞察全身健康的新窗口，用眼底成像结合AI可早期发现多种疾病。
The Eye as a Window to Systemic Health: A Survey of Retinal Imaging from Classical Techniques to Oculomics
- 从传统眼底成像到智能分析，推动眼科学向系统健康研究拓展
- 通过眼底血管结构变化，可无创监测糖尿病、心血管等系统性疾病
- 适合眼科、医学AI和健康管理领域研究者关注
人类眼睛的视网膜具有独特的血管化结构，为评估全身健康提供了天然窗口。视网膜结构有助于早期发现、疾病进展监测及干预，涵盖眼部与非眼部疾病。人工智能驱动的成像技术进步，使这一潜力得以实现，推动眼科学向系统健康研究发展。本文综述了视网膜成像技术的演进历程，强调融合AI分析的迫切需求，并探讨从经典技术向“眼组学”（oculomics）范式的转变。同时讨论眼组学发展面临的技术与数据挑战，指出当前研究空白与未来方向。
原文摘要 · Abstract (English)
The unique vascularized anatomy of the human eye, encased in the retina, provides an opportunity to act as a window for human health. The retinal structure assists in assessing the early detection, monitoring of disease progression and intervention for both ocular and non-ocular diseases. The advancement in imaging technology leveraging Artificial Intelligence has seized this opportunity to bridge the gap between the eye and human health. This track paves the way for unveiling systemic health insight from the ocular system and surrogating non-invasive markers for timely intervention and identification. The new frontiers of oculomics in ophthalmology cover both ocular and systemic diseases, and getting more attention to explore them. In this survey paper, we explore the evolution of retinal imaging techniques, the dire need for the integration of AI-driven analysis, and the shift of retinal imaging from classical techniques to oculomics. We also discuss some hurdles that may be faced in the progression of oculomics, highlighting the research gaps and future directions.
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