人工智能在骨科领域的全景应用与研究进展

摘要

系统回顾近年来人工智能（AI）在骨科领域的应用与研究现状,为AI在骨科临床的转化应用与规范化研究提供参考。通过检索PubMed、Web of Science等数据库中近5年AI与骨科交叉领域的相关文献,从影像诊断、手术规划与导航、假体设计、预后预测、智能康复及生成式AI应用等维度进行归纳总结。结果显示近5年AI深度渗透骨科全诊疗流程,在骨折与骨病诊断、精准手术规划与导航、个性化假体研发、手术预后预测及智能康复中取得突破性进展,有效提升了诊疗精准度与效率,但仍存在数据标准不统一、模型可解释性不足、多中心验证缺乏、监管体系不完善等问题。总之,AI为骨科诊疗模式向精准化、个体化、智能化转型提供了核心驱动力,但未来需突破技术与临床转化瓶颈,加强多学科协作与标准化建设,推动AI技术在骨科领域的普惠化、规范化应用。

关键词

人工智能 / 骨科 / 深度学习 / 手术机器人 / 精准医疗

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