Regarding hip and knee reconstruction surgery, AI/ML have not made it yet to clinical practice. In this review, we present sound AI/ML applications in the field of hip and knee degenerative disease and reconstruction. From osteoarthritis (OA) diagnosis and prediction of its advancement, clinical decision-making, identification of hip and knee implants to prediction of clinical outcome and complications following a reconstruction procedure of these joints, we report how AI/ML systems could facilitate data-driven personalized care for our patients.
关于髋关节和膝关节重建手术,AI/ML尚未进入临床实践。在这次审查中,我们介绍了AI/ML在髋关节和膝关节退行性疾病和重建领域的应用。从骨关节炎(OA)的诊断和预测其进展,临床决策,髋关节和膝关节植入物的识别,以预测这些关节的重建程序后的临床结果和并发症,我们报告了AI/ML系统如何为患者提供数据驱动的个性化护理。