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重点人群体检智能辅助系统
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破解基层医疗“三难”
Xin Lang Cai Jing· 2026-01-08 20:05
Core Insights - The establishment of the National AI Application Pilot Base in Hefei aims to address challenges in the integration of AI technology within grassroots healthcare, focusing on the disconnection between healthcare services and AI, conflicts with existing information systems, and the low-level repetitive construction of vertical models in the medical field [1][2]. Group 1 - The pilot base will create an efficient data flow system, aggregating 5PB of medical data and integrating 34 specialized medical knowledge bases and 42 multimodal datasets to support grassroots healthcare [2]. - The initiative will focus on developing five major medical models and creating application toolchains for the healthcare industry, facilitating rapid service delivery in industry scenarios [2]. - The project will target ten grassroots healthcare service scenarios and eleven public health service scenarios, developing intelligent decision support systems for general practitioners and targeted health checkups to enhance grassroots healthcare service capabilities [2].
合肥启建国家人工智能应用中试基地破解基层医疗“三难”
Xin Hua She· 2025-12-30 12:56
12月30日,国家人工智能应用中试基地(合肥)启幕暨全球生态团队招募大会在安徽合肥举办。新华社 记者 汪海月 摄 针对这些"痛点",合肥本次获批建设的国家人工智能应用中试基地,创新构建"政府主导、国资运营、 生态共建"的运行机制,以业务模式创新为技术落地提供场景;整合国产算力资源、科研资源、生态资 源等战略力量,形成资源聚合、优势互补的发展态势,有效降低AI赋能医疗的创新研发门槛与产业应 用成本。 据介绍,中试基地构建高效数据流转体系,汇聚5PB医疗数据,深度融合34个专业医疗知识库、42个多 模态数据集等核心资源,为基层医疗提供数据支撑;重点研发五大医学大模型,开发医疗行业应用工具 链,推动大模型快速服务行业场景;聚焦10个基层医疗服务场景和11个基层公共卫生服务场景,研发基 层全科医生智能辅助决策、重点人群体检智能辅助等系统,切实提升基层医疗服务能力。(记者汪海 月) 医疗卫生健康业务与人工智能技术脱节、人工智能应用与现有医疗卫生领域信息化系统冲突、医疗领域 垂类模型低水平重复建设……12月30日,聚焦我国当前AI赋能基层医疗存在的一些难题,国家人工智 能应用中试基地(合肥)正式启动建设,将助力人工智能技 ...