医学
工作流程
运动医学
医疗保健
康复
人工智能
计算机科学
物理疗法
经济增长
数据库
经济
出处
期刊:Seminars in Musculoskeletal Radiology
日期:2024-03-14
卷期号:28 (02): 203-212
被引量:3
标识
DOI:10.1055/s-0043-1778019
摘要
Abstract Artificial intelligence (AI) has shown tremendous growth over the last decade, with the more recent development of clinical applications in health care. The ability of AI to synthesize large amounts of complex data automatically allows health care providers to access previously unavailable metrics and thus enhance and personalize patient care. These innovations include AI-assisted diagnostic tools, prediction models for each treatment pathway, and various tools for workflow optimization. The extension of AI into sports medicine is still early, but numerous AI-driven algorithms, devices, and research initiatives have delved into predicting and preventing athlete injury, aiding in injury assessment, optimizing recovery plans, monitoring rehabilitation progress, and predicting return to play.
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