中国医疗人工智能发展报告（2023）
| 书 名： |
中国医疗人工智能发展报告（2023） |
| 英 文 名： |
ANNUAL REPORT ON MEDICAL ARTIFICIAL INTELLIGENCE IN CHINA （2023）
|
| 作 者： |
张旭东 陈校云 杨吉江 彭亮 |
| I S B N： |
978-7-5228-3631-7 |
| 丛 书 名： |
人工智能蓝皮书
订阅
|
| 关 键 词： |
医疗人工智能 医院信息化 数字健康 |
| 出版日期： |
2024-07-01 |
中文摘要
本书以中国医疗人工智能产业为重点，分析了医院、基层医疗卫生机构、个体主动健康、第三方机构、公共卫生机构和其他方面的医疗人工智能产品应用和技术发展状况，构建了中国医疗人工智能产业生态图。采用问卷调查法对中国医疗人工智能企业的产品组成和应用、投融资和研发投入、技术发展情况等进行调查，分析发展瓶颈，提出促进产业发展的政策建议：加快制定医疗人工智能产品服务价格和医保支付政策；分类制定医疗人工智能产品数据管理规范和相关标准；积极探索在医疗服务流程中的产品应用衔接、质量监管和效果评价；持续完善产业生态环境政策和相关伦理法规；在融资、上市方面给予医疗人工智能企业更多的扶持等。
基于官方统计数据和实际调查数据，对中国医疗人工智能科研资金投入和科研课题立项方面进行了全面的统计与综合评价，对中国医疗人工智能领域人才培养与学科建设情况进行了统计分析，并通过文献计量研究，分析了医疗人工智能领域相关技术的发展脉络和研究热点。
依据权威资料，以肺结节、糖尿病视网膜病变以及病理图像等人工智能软件为典型，对第三类人工智能独立软件医疗器械产品的注册审评情况进行分析，并对未来的应用监管进行了探讨。基于文献调研、专家咨询和层次分析法构建了由3个一级指标和10个二级指标构成的医疗人工智能产品应用成熟度评价模型，为医疗人工智能产品的应用成熟度提供量化评价工具。
从医院信息化、数字化和智能化内涵入手，构建了包含智能化基础、智能化能力和智能化效果三个方面，由点、线—面—体三个层级组成的医院智能化指数评价指标框架体系，为医院智能化程度的量化评价提供参考。在实践应用方面，探讨了人工智能技术在数字病理中的多场景应用和人工智能语音技术在医院随访工作中的应用。
国际篇通过对大模型在美国医疗健康领域的应用情况进行归纳总结，为我国医学大模型应用提出优化建议；通过对新加坡医疗人工智能相关政策法规的制定和发展、人工智能医疗器械注册审评和产品现状，以及医疗保健领域人工智能应用指南及最新发展等状况的分析，为我国相关研究提供借鉴。
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