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Kirsten Schleid¹, Assil-Ramin Alimy¹, Tim Hoenig¹

¹Klinik für Unfallchirurgie und Orthopädie, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52, 20246, Hamburg, Deutschland.

Orthopadie (Heidelberg, Germany)

|December 10, 2025

概括

人工智能 (AI) 在识别骨关节炎 (OA) 现型,改善诊断和治疗方面表现有前途. 在临床实践中进一步整合人工智能可以优化对这种常见关节疾病的患者护理.

科学领域:

整形外科整形外科整形外科
放射学放射学是一门学科.
医学信息学医学信息学

背景情况:

骨关节炎 (OA) 影响全球超过5亿人,诊断和治疗进展有限.
在历史上被视为退行性,OA现在被认为是一种具有明显表型的异质状况.
人工智能 (AI) 在OA研究中的临床应用尽管在医学上越来越重要,但仍然有限.

研究的目的:

审查现有的OA表型化方法.
强调AI在识别和分类OA表型方面的作用.

主要方法:

进行了选择性的文献综述.
审查的重点是人工智能在OA诊断和评估中的应用.

主要成果:

人工智能在自动化软骨损伤评估和预测关节塑形手术的需要方面展示了潜力.
骨科,放射学和人工智能专家之间的合作对于临床整合至关重要.
人工智能可以提高OA的诊断成像,临床解释和疾病预后.

结论:

人工智能为改善OA诊断,评估和预后提供了巨大的潜力.
人工智能驱动的精确诊断和个性化的预后可以导致更有效的治疗决策.
通过基于人工智能的方法优化患者护理是未来的关键方向.

关键词:

生物医学研究的研究.深度学习是一种深度学习.机器学习机器学习磁共振成像技术磁共振成像技术骨关节炎是一种骨关节炎.

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