The Knee · 2026 · 敘述性回顧（依標題推測）
Artificial intelligence in the management of sports knee injuries: a narrative review.
膝 · 膝關節運動損傷
中文閱讀摘要
本敘事性回顧指出AI於運動膝傷預測與診斷具潛力，但多處實驗階段，因缺乏外部驗證與可解釋性，臨床應用仍受限。
AI 依來源摘要整理，未經人工逐篇核對。閱讀結論前，請回溯研究族群、方法與限制。
原始摘要
Introduction
Sports-related knee injuries are common and debilitating, often leading to chronic pain, early osteoarthritis, and reduced performance. Artificial Intelligence (AI) has emerged as a promising tool to improve their prevention, diagnosis, prognosis, and rehabilitation. This review summarises current evidence on the clinical applications, limitations, and future directions of AI and machine learning in sports-related knee injuries.
Methods
A narrative review of PubMed, Embase, Medline and Web of Science was conducted, examining recent literature on AI-based models in musculoskeletal and sports medicine. The review was categorised into key domains: injury prediction and prevention, diagnostic imaging performance, AI-enabled clinical workflows, alongside postoperative and rehabilitation outcome modelling.
Results
AI algorithms demonstrate strong potential across the sports knee injury continuum. Predictive models analysing biomechanical and physiological data have achieved high area under the curve (AUC) values, in some cases above 0.90, in experimental and pilot setting when identifying athletes at risk of ACL rupture or overuse injuries, while machine learning approaches have been used to predict graft failure, revision surgery, and return-to-sport. However, most remain investigational rather than clinically deployable, with limited explainability, insufficient external validation, and training datasets that are often narrow or unrepresentative of broader athletic populations.
Conclusion
AI has the potential to transform the management of sports-related knee injuries through more predictive, personalised, and precise care. However, wider clinical adoption will require multicentre validation, improved interpretability, and robust ethical and regulatory oversight. With further development, AI may enhance injury prevention, recovery, and improve long-term joint health outcomes in athletes.
至 Europe PMC 閱讀完整來源 ↗ · 擷取日期 2026-10-19
書目、來源與全文狀態
- DOI
- 10.1016/j.knee.2026.104430
- PMID／PMCID
- 41903431
- 作者
- Gill SS, Kharma N, Gupte CM
- 首次發表日期
- 2026-03-27Europe PMC 提供，部分日期可能依年份或月份推定。
- 卷／期／頁碼或文章編號
- 61 ／ 期未提供 ／ 104430
- 書目來源與查核日期
- Europe PMC · 2026-10-19僅核對書目欄位與來源連結；不代表已評讀研究品質。
- 全文與授權
- 來源尚未確認免費全文。 來源授權標示：cc by。
可回溯引用
Gill SS, Kharma N, Gupte CM. Artificial intelligence in the management of sports knee injuries: a narrative review. The Knee. 2026;61:104430. PMID: 41903431. doi:10.1016/j.knee.2026.104430
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