Title
Role of AI in the analysis of total knee arthroplasty
Authors
Anuraag Mohanty*, Priyankar Nanda & Preethiv Rajendran
Affiliation
Department of Orthopedics, Kalinga Institute of Medical Sciences, KIIT, Bhubaneswar, Odisha, India; *Corresponding author
Anuraag Mohanty - E-mail: anuraag98@gmail.com; Phone: +91 9938837435
Priyankar Nanda - E-mail: priyankarnanda@gmail.com; Phone: +91
8895485399
Preethiv Rajendran - E-mail: drpreethivr96@gmail.com; Phone: +91
8056160642
Article Type
Research Article
Date
Received October 1, 2025; Revised October 31, 2025; Accepted October 31, 2025, Published October 31, 2025
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.
Keywords
Total knee replacement; Artificial intelligence; ChatGPT; KOOS score; Peri-prosthetic joint infection; Outcome prediction; Machine learning; ROC analysis
Citation
Mohanty et al. Bioinformation 21(10): 3725-3729 (2025)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
