中山医院血管外科 · 人工智能平台 ZS_Vascular Surgery Artificial Intelligence Platform

Zhongshan Hospital · Vascular Surgery Vascular Surgery · Zhongshan Hospital, Fudan University

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平台简介Platform Overview

本平台由两大板块组成：心血管疾病大数据库与血管外科AI工具。数据库整合全国多病种、多类型的数据资源，提供数据检索与申请入口； AI工具由中山医院血管外科团队研发，涵盖各类疾病的临床应用模型，包括进展预测、风险分层、预后预测等。该平台由复旦大学附属中山医院血管外科提供技术支持。 This platform consists of two sections: the Cardiovascular Disease Database and Vascular Surgery AI Tools. The database integrates multi-disease, multi-type data resources across China, providing data search and application access; the AI tools, developed by the Vascular Surgery team at Zhongshan Hospital, cover clinical applications for various diseases, including progression prediction, risk stratification, and prognosis forecasting. This platform is technically supported by the Vascular Surgery Department of Zhongshan Hospital, Fudan University.

1. 心血管疾病大数据库1. Cardiovascular Disease Database

整合全国血管外科多病种、多类型数据资源，提供数据检索、申请与协作支持。 Integrates multi-disease, multi-type vascular surgery data resources across China, providing data search, application, and collaboration support.

SMAD Database肠系膜上动脉夹层数据库

Multi-center SMAD dataset from 70+ hospitals across China, including:
Imaging data >10,000 cases,
Clinical data >10,000 cases,
Genomic data >100 cases. 来自全国70余家中心，包括：
影像数据 >10,000例，
临床信息 >10,000例，
基因组数据 >100例。

Last updated: 2026/10/11最近更新：2026/10/11

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abeSAA Database迷走脾动脉瘤数据库

Multi-center abeSAA dataset from 13 hospitals across China, including:
Imaging data: 112 cases. 来自全国13家中心，包括：
影像数据：112例。

Last updated: 2026/7/13最近更新：2026/7/13

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2. 血管外科AI工具2. Vascular Surgery AI Tools

由中山医院牵头研发的多款血管外科AI工具，辅助个体化诊疗、风险评估与临床决策。 Multiple vascular surgery AI tools developed under the leadership of Zhongshan Hospital to support individualized diagnosis, risk assessment, and clinical decision-making.