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骨关节炎中的生成人工智能:对当前应用和未来方向的系统范围审查

Jessica L Fairley¹, Mohit Kapoor², Divya Sharma³

¹The University of Melbourne, Melbourne, Victoria, Australia; St. Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.

Osteoarthritis and cartilage

|March 13, 2026

概括

生成型人工智能 (GenAI) 在骨关节炎 (OA) 护理和研究方面表现有前途,特别是在成像分析和合成数据生成方面. 然而,目前的应用在规模和范围上是有限的,需要进一步验证和更广泛的数据集成.

科学领域:

生物医学信息学是生物医学信息学.
医疗保健中的人工智能
骨关节炎的研究研究.

背景情况:

生成型人工智能 (GenAI) 提供了合成数据生成,复杂数据建模和洞察力提取的能力.
骨关节炎 (OA) 护理和研究可能会从这些先进的AI应用中受益.

研究的目的:

系统地审查和描述GenAI在骨关节炎 (OA) 护理和研究中的当前应用.
确定OA领域现有GenAI研究的关键领域和局限性.

主要方法:

进行了系统的范围审查.
在Medline,EMBASE,Pubmed和Scopus数据库中进行了搜索,截至2025年12月.
包括以英语语言的研究,重点关注OA中的GenAI应用.

主要成果:

分析了49项研究,分为四个领域:大型语言模型 (诊断,治疗建议,患者材料),合成数据生成 (主要是成像,提高了5-19%的准确性),成像数据分析 (OA分级以70-90%的准确性,交叉模式翻译) 和多组数据分析 (识别OA子组).
在OA成像分析和合成数据生成方面,GenAI表现出强的表现.
报告指出,多原子数据应用的探索有限.

结论:

基因AI具有显著的潜力,可以彻底改变OA护理和研究.
目前的研究主要是小规模的,异质的,主要集中在成像数据上.
未来的研究应该优先考虑更大的数据集,严格的验证和整合到多式联络研究管道中,以获得更广泛的影响.

关键词:

生成型的人工智能 (GAI)骨关节炎是一种关节炎.

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