广东医学2025，Vol.46Issue(11)：1601-1605,5.DOI:10.13820/j.cnki.gdyx.20253316
医学人工智能:从技术性能到临床效用
Medical artificial intelligence:from technical performance to clinical utility
摘要
Abstract
Medical artificial intelligence(AI),as a transformative technology,holds the potential to significantly improve patient outcomes while reducing healthcare costs.Despite numerous breakthroughs in research,only a limited number of AI products have been validated for clinical application.This article aims to systematically review the critical gap in translating medical AI from technical performance to clinical utility,analyze the primary barriers to such transla-tion,and identify four core conditions essential for successful clinical implementation:precision medicine orientation,sci-entific reproducibility,reliable data and trustworthy algorithms,and causal inference capability.Based on these condi-tions,we further propose specific actionable strategies to facilitate the deep clinical translation of medical AI algorithms,ultimately enhancing the quality and efficiency of patient care.关键词
医学人工智能/临床转化/精准医疗/可重复性/因果推断Key words
medical artificial intelligence/clinical translation/precision medicine/reproducibility/causal infer-ence分类
医药卫生引用本文复制引用
程伟彬,李观明..医学人工智能:从技术性能到临床效用[J].广东医学,2025,46(11):1601-1605,5.基金项目
广州市智慧家庭病房与健康感知重点实验室(2024A03J1074) （2024A03J1074）
