High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction, China Fundus Carotid Intima-Media Thickness dataset

The China Fundus Carotid Intima-Media Thickness Dataset comprises comprehensive data from 2,903 patients, including high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected by the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between April 2015 and February 2024.Among the participants, 849 cases are classified as normal (CIMT < 0.9 mm), while 2,054 cases exhibit thickened CIMT (CIMT ≥ 0.9 mm). This well-annotated dataset facilitates in-depth research on microvascular pathology and cardiovascular risk assessment.As a publicly available multimodal resource, the China Fundus CIMT dataset provides valuable support for developing AI-driven predictive models for cardiovascular disease. By integrating fundus imaging with CIMT analysis, it enables the advancement of non-invasive, cost-effective screening tools for early detection and prevention of cardiovascular conditions.