PURPOSE
To systematically evaluate the performance, methodological quality, and translational barriers of deep learning (DL) models for predicting knee osteoarthritis (KOA) progression from medical imaging.
METHODS
Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science (inception to June 2026) fo...
Amna Gillani, R. von Eisenhart-Rothe, K. Woertler et al.· Knee Surgery, Sports Traumat...· 0 citations
PURPOSE
To evaluate and compare the performance of four general-purpose large language models (LLMs) (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) in answering specialised clinical questions related to total knee arthroplasty (TKA) derived from the World Expert Meeting in Arthroplasty (WEMA).
METHODS
This is a cross-s...
Oriol Pujol, R. Ferrer, Alex Coelho et al.· Knee Surgery, Sports Traumat...· 0 citations
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