Skip to content

Author

M. Hirschmann

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Review Open access Aug 2026

Promises and limitations of deep learning for predicting knee osteoarthritis progression from medical imaging: A systematic review.

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. · 0 citations
Open access Jul 2026

Four general-purpose large language models (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) show comparable performance in specialised total knee arthroplasty clinical questions.

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. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.