Oculomics与脑生物标志物研究
Oculomics and the search for brain biomarkers
G-PROG模型能预测青光眼进展，眼科影像分析正从检测转向预测，还能发现脑部生物标志物。
《柳叶刀数字健康》期刊发表G-PROG深度学习模型，可通过基线彩色眼底照片预测青光眼进展风险。该研究将人工智能应用于眼科影像分析，从疾病检测转向病程预测。
现代眼科图像分析方法提供的信息不仅限于眼部疾病，还可能揭示脑部生物标志物。
Oculomics and the search for brain biomarkers
Artificial intelligence (AI) is moving ocular imaging from detection of disease to prediction of its course. In the August issue of The Lancet Digital Health, Ruben Hemelings and colleagues describe G-PROG, a deep-learning model to predict the risk of glaucoma progression from a baseline colour fundus photograph. Yet the information conveyed by modern ocular image analysis methods is not limited to ocular conditions.
This report is categorized under AITOP's "Papers" desk, focusing on Europe's AI governance and technology ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Oculomics, G-PROG, 青光眼, 深度学习.
Source attribution: curated from Lancet Digital Health (@ The Lancet Digital Health).