中国卫生事业管理2026，Vol.43Issue(8)：852-856,5.
医疗人工智能临床应用的制约因素与实施路径探析
Analysis of the Constraints and Implementation Paths of Clinical Applications of Medical Artificial Intelligence
摘要
Abstract
The deep integration of artificial intelligence technology in medical field is leading a new services revolution,with its application gradually moving from the concept validation stage to a critical period of large-scale exploration.The cur-rent application status and effectiveness of medical artificial intelligence in core scenarios such as diagnosis and treatment assis-tance,medical imaging,and drug research and development were systematically reviewed,and the core constraints were deeply analyzed in four aspects of algorithms and data,institutional ethics,organizational talent,and application evaluation.Based on which,corresponding systematic implementation paths were put forward,including strengthening technological research and data governance,improving regulations and ethical reviews,promoting organizational collaboration and talent cultivation,and build-ing an application promotion and evaluation system oriented towards value-based medical care.Finally,the future development was prospected,aiming to provide theoretical references for promoting valuable innovation and efficient implementation of medi-cal AI.关键词
医疗人工智能/制约因素/实施路径/数据治理/伦理规制Key words
medical artificial intelligence/constraints/implementation paths/data governance/ethical regulation分类
医药卫生引用本文复制引用
崔芳芳..医疗人工智能临床应用的制约因素与实施路径探析[J].中国卫生事业管理,2026,43(8):852-856,5.基金项目
科技创新2030"新一代人工智能"重大专项"自适应智能辅助诊疗开放平台"(2022ZD0160704) （2022ZD0160704）
河南省医学科技攻关省部共建重点项目"基于多模态特征融合的乳腺癌超声智能筛查技术研究"(SBGJ202402097) （SBGJ202402097）
郑州市基础研究与应用基础研究项目"'互联网+'背景下乳腺癌疾病负担评估及远程干预模式研究"(2024ZZJCYJ017) （2024ZZJCYJ017）
河南省医学科学院基本科研业务费项目"基于多模态数据融合的乳腺癌病理智能辅助诊断技术研究"(JBKY250308) （JBKY250308）
