Evaluation of the Efficacy of an Artificial Intelligence-Based Assessment and Correction System in the Rehabilitation of Patients Following Anterior Cruciate Ligament Reconstruction Surgery.
OrthoEvidence Journal (OE Journal) - ACE Report
Epub Ahead of Print
J Clin Med. 2026 01-Jan;():. 10.3390/jcm15020575What this means for my practice?
AI-based rehabilitation significantly improves postoperative recovery, particularly in knee function, balance, ROM, and adherence, compared to conventional rehabilitation. Clinically, this supports integrating AI tools to enhance personalized rehabilitation strategies. Key limitations are the single-centre design with short follow-up duration.
Study Summary
Eighty patients undergoing anterior cruciate ligament (ACL) reconstruction were randomized to receive artificial intelligence (AI) based rehabilitation or conventional rehabilitation. The outcomes of interest were knee function scores (Lysholm) and International Knee Documentation Committee (IKDC, Berg Balance Scale (BBS), knee joint range of motion (ROM), and functional exercise adherence. Outcomes were assessed at 1, 2, 3, and 4 months postoperatively. Overall, the results of the study revealed that both groups improved over time; however, the AI-based group demonstrated significantly greater improvements in knee function, balance, ROM, and adherence. These findings suggest that AI-guided rehabilitation enhances recovery outcomes and patient engagement compared to conventional approaches.
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