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应用人工智能在基于价值的肌肉骨护理领域的出现
Jefferson Hunter1, Philippe Dentino1, Prakash Jayakumar2
1Department of Surgery and Perioperative Care, Dell Medical School, University of Texas at Austin, Austin, TX, USA.
Current reviews in musculoskeletal medicine
|June 14, 2025
概括
肌肉骨护理中的人工智能 (AI) 主要集中在诊断和预后等技术应用上. 虽然个人价值应用正在增长,但需要对人工智能的研究来实现公平的资源分配.
科学领域:
- 整形外科手术 整形外科手术
- 医疗服务研究 医疗服务研究
- 人工智能的人工智能是人工智能.
背景情况:
- 基于价值的医疗保健模式正在改变肌肉骨护理的提供.
- 人工智能 (AI) 提供了显著的机会,以提高患者的治疗结果和运营效率.
- 了解人工智能在骨科应用的现状对于战略发展至关重要.
研究的目的:
- 在基于价值的基础上,审查和分类目前在肌肉骨保健中的AI应用.
- 评估人工智能应用与分配,技术和个人价值的协调程度.
- 用加特纳的作周期将人工智能在骨科中的作用置于背景中.
主要方法:
- 对人工智能在骨科应用的系统文献综述.
- 根据价值分类的AI应用程序的描述性分析.
- 综合使用加特纳作周期框架的研究结果.
主要成果:
- 82%的肌肉骨护理人工智能研究的目标是技术价值 (成像,诊断,预后,设备集成).
- 18%的研究重点是个人价值 (环境倾听,人工智能写字,聊天机器人,预绘图).
- 不到1%的研究解决分配价值;人工智能资源分配需要促进.
结论:
- 人工智能显著提高了肌肉骨护理的技术和个人价值,数字健康的快速发展.
- 大数据分析和机器人手术等人工智能应用正在接近生产率.
- 进一步的研究对于探索AI在优化资源分配和确保公平护理方面的潜力至关重要.
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