Year: 2025
Type: article
Study design: Observational Study
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.
Source: Bioinformation
Institution: KIIT University
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4415947009