<b>Fundus_CIMT_2903: A Key Dataset for Advancing Ophthalmomics and Early Cardiovascular Disease Prediction</b>

Fundus_CIMT_2903 Dataset: The Fundus_CIMT_2903 dataset includes comprehensive data from 2,903 patients, consisting of high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected from the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between November 2016 and August 2024. It features 849 cases classified as normal (CIMT &lt; 0.9 mm) and 2,054 cases with thickened CIMT (CIMT ≥ 0.9 mm), facilitating the study of microvascular pathology and cardiovascular risk. This publicly accessible dataset provides a vital multimodal resource for advancing AI-based predictive models for cardiovascular disease, enabling the integration of fundus imaging and CIMT analysis to develop non-invasive, cost-effective screening tools.Fundus_CIMT_2903 数据集：本数据集涵盖2903名患者的完整多维度临床数据，包含高分辨率双侧眼底图像、颈动脉内膜中层厚度（carotid intima-media thickness，CIMT）测量值，以及年龄、性别等基础临床信息。该数据集于2016年11月至2024年8月间，由安徽医科大学第二附属医院内分泌科采集完成。数据集共包含849例CIMT<0.9mm的正常病例，以及2054例CIMT≥0.9mm的内膜增厚病例，可为微血管病变与心血管风险相关研究提供重要支撑。这款公开可获取的多模态数据集，为推动基于人工智能的心血管疾病预测模型研发提供了关键资源，能够整合眼底成像与CIMT分析技术，助力开发无创且兼具成本效益的心血管疾病筛查工具。