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Updated: Feb 4, 2026

Reverse Total Shoulder Arthroplasty
Published on: July 5, 2011
Role of AI in the analysis of total knee arthroplasty
Anuraag Mohanty1, Priyankar Nanda1, Preethiv Rajendran1
1Department of Orthopedics, Kalinga Institute of Medical Sciences, KIIT, Bhubaneswar, Odisha, India.
Abstract:
This retrospective cohort assessed a ChatGPT-based AI model for 1-year KOOS prediction and infection risk in 98 primary total knee replacement (TKR) patients. The model predicted based on preoperative clinical, demographic, and intra-operative data. The model under predicted the mean knee injury and osteoarthritis Outcome Score (KOOS) by 7-8 points compared to surgeon-reported outcomes (p = 0.02) with moderate correlation (r = 0.45).Predicted risk of infection (2.4%) was nominally higher than observed (1.8%), with an ROC-AUC of 0.70. Directionally accurate, the model requires further fine-tuning prior to clinic use.
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