人工智能和多式成像在骨科:从技术进步到临床翻译
Guangan Luo1, Shuanglong Tan1, Lincong Luo2
1Guangdong Medical University, Zhanjiang, China.
Frontiers in medicine
|January 26, 2026
概括
多式人工智能 (AI) 整合了多种医学成像,以增强骨科护理,从而实现精准医学. 数据和实施方面的挑战仍然存在,但人工智能承诺更安全,更有效的患者解决方案.
科学领域:
- 整形外科手术 整形外科手术
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 当前的骨科实践在很大程度上依赖于经验.
- 单模成像在全面的患者评估中存在固有的局限性.
研究的目的:
- 审查近期关于多式联络人工智能的证据.
- 突出AI开发和临床实施之间的差距.
主要方法:
- 综合了多式人工智能框架和成像模式 (X射线,CT,MRI,PET,超声波,生物化学数据) 的最新关键证据.
- 专注于临床翻译的应用,挑战和未来方向.
主要成果:
- 多模式人工智能通过结合互补数据进行全面评估来增强诊断和治疗.
- 应用包括骨折检测,瘤分化,骨关节炎评估和手术规划.
- 人工智能辅助工具可以改善手术策略,植入物设计和患者随访.
结论:
- 多式人工智能为骨科精密医学提供了巨大的潜力,超越了基于经验的实践.
- 解决数据异质性,模型概括性,可解释性和临床整合性对于翻译至关重要.
- 标准化数据库,先进的学习策略和强大的伦理框架对于常规临床采用至关重要.
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