ArticleBioinformation2025
Role of AI in the analysis of total knee arthroplasty.
Article in Bioinformation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
3 authors.
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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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