医疗人工智能临床应用的制约因素与实施路径探析OA

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.