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ENGLISH ABSTRACT
人工智能在前交叉韧带损伤诊疗中的研究进展
丁源
徐文龙
张杰
薛子超
作者及单位信息
·
DOI： 10.3760/cma.j.cn115530-20240830-00350
Research progress concerning artificial intelligence in the diagnosis and treatment of anterior cruciate ligament injury
Ding Yuan
Xu Wenlong
Zhang Jie
Xue Zichao
Authors Info & Affiliations
Ding Yuan
Department of Sports Medicine, Qingdao Municipal Hospital, Qingdao 266071, China
Xu Wenlong
Department of Rehabilitation Medicine, Qingdao Municipal Hospital, Qingdao 266071
Zhang Jie
The Third Clinical College, Qingdao University, Qingdao 266071, China
Xue Zichao
Department of Sports Medicine, Qingdao Municipal Hospital, Qingdao 266071, China
·
DOI： 10.3760/cma.j.cn115530-20240830-00350
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摘要

前交叉韧带（ACL）损伤是膝关节的常见疾病，影响膝关节的稳定性。作为一个新兴领域，人工智能（AI）近年来在ACL损伤的诊断与治疗方面发展迅速，可以提高ACL损伤诊断与治疗全过程的准确性和时效性，改善预后。本文拟对AI在ACL损伤的诊断、ACL重建术中的应用、术后结局预测及术后康复等方面的研究进展进行综述，以期提高ACL损伤诊断与治疗的成功率，使患者及时重返运动，为改善患者结局提供前沿技术支持。

前交叉韧带;创伤和损伤;人工智能;诊断;治疗结果
ABSTRACT

Anterior cruciate ligament (ACL) injury is a common disease of the knee joint, which affects the stability of the knee joint. As an emerging field, artificial intelligence (AI) has developed rapidly in the diagnosis and treatment of ACL injury in recent years, improving the accuracy and timeliness of the whole diagnosis and treatment process to improve the prognosis of ACL injury. This article reviews the research progress of AI in diagnosis of ACL injury, ACL reconstruction, prediction of postoperative outcomes, and postoperative rehabilitation. We hope this information may help surgeons to improve the success rate of AI in diagnosis and treatment of ACL injury and provide cutting-edge technical support to improve patient outcomes.

Anterior cruciate ligament;Wounds and injuries;Artificial intelligence;Diagnosis;Treatment outcome
Xue Zichao, Email: mocdef.3ab610322_hczx
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引用本文

丁源,徐文龙,张杰,等. 人工智能在前交叉韧带损伤诊疗中的研究进展[J]. 中华创伤骨科杂志,2025,27(03)：258-265.

DOI:10.3760/cma.j.cn115530-20240830-00350

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前交叉韧带（anterior cruciate ligament, ACL）作为膝关节的重要稳定系统，其主要功能是通过防止胫骨前移和内旋来维持膝关节的正常运动功能 [ 1 ]。ACL损伤或严重松弛可导致膝关节不稳，使膝关节面的接触面积和剪切力发生变化，进而导致软骨损伤、半月板损伤及远期膝关节骨关节炎等 [ 2 ]。ACL损伤占所有膝关节损伤的50%，患者主要为参加篮球、足球、滑雪及排球等体育活动的年轻人，估计每10 000次运动就会出现6.5例ACL损伤 [ 3 ]。目前，ACL重建手术技术已较为成熟，该手术旨在改善膝关节的生物力学不稳，在美国每年进行约130 000例ACL重建手术，每年的花费估计为10亿美元 [ 4 ]。
ACL损伤患者的数量大，功能要求高。因此，及时、准确地诊断及早期干预对恢复膝关节稳定性和功能至关重要 [ 5 ]。近年来，人工智能（artificial intelligence, AI）的发展突飞猛进，在医学中的应用更是越来越广泛，具体到ACL损伤诊疗方面，AI也有了长足的进步。本文拟对AI在ACL损伤诊断、ACL重建术中的应用、术后结局预测及术后康复等方面进行综述，以期提高ACL损伤诊断与治疗的成功率，使患者及时重返运动，为改善患者结局提供前沿技术支持。
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