The Future of Artificial Intelligence in Sports Medicine and Return to Play.

IF 0.9 4区 医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Seminars in Musculoskeletal Radiology Pub Date : 2024-04-01 Epub Date: 2024-03-14 DOI:10.1055/s-0043-1778019
Vishal Desai
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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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人工智能在运动医学和重返赛场中的未来。
人工智能(AI)在过去十年中取得了巨大的发展,最近在医疗保健领域的临床应用也有了长足的进步。人工智能自动合成大量复杂数据的能力,使医疗服务提供者能够获得以前无法获得的指标,从而加强和个性化病人护理。这些创新包括人工智能辅助诊断工具、每种治疗途径的预测模型以及用于优化工作流程的各种工具。将人工智能推广到运动医学领域还为时尚早,但许多人工智能驱动的算法、设备和研究计划已经深入到预测和预防运动员损伤、协助损伤评估、优化恢复计划、监测康复进展和预测重返赛场等方面。
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来源期刊
CiteScore
2.50
自引率
7.10%
发文量
112
审稿时长
>12 weeks
期刊介绍: Seminars in Musculoskeletal Radiology is a review journal that is devoted to musculoskeletal and associated imaging techniques. The journal''s topical issues encompass a broad spectrum of radiological imaging including body MRI imaging, cross sectional radiology, ultrasound and biomechanics. The journal also covers advanced imaging techniques of metabolic bone disease and other areas like the foot and ankle, wrist, spine and other extremities. The journal''s content is suitable for both the practicing radiologist as well as residents in training.
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