Author

F. Oettl

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Review Open access Oct 2026

Guideline‐augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study

Abstract Purpose Large language models (LLMs) are increasingly used in clinical contexts; however, performance in complex perioperative decision‐making remains uncertain. Orthopaedic anaesthesia presents a demanding test case due to comorbidity burden and guideline‐dependent management. Whether successive LLM generatio...

Anita Széll, Yi-Nan Yu, Jacob F. Oeding et al. · Journal of Experimental Orth... · 0 citations

Open access Aug 2026

Collared Stems Are Associated With Reduced Early Aseptic Loosening and All-Cause Revision Rate.

BACKGROUND The influence of collar design on femoral stem survival in total hip arthroplasty (THA) remains debated despite its potential biomechanical advantages. This registry analysis investigated whether collared stems demonstrate superior survival compared to non-collared designs in primary THA. METHODS A retrosp...

F. Oettl, D. Dimitriou, Patrick O. Zingg et al. · Journal of Arthroplasty · 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.

Four general-purpose large language models (ChatGPT-5, Claude 4, Grok 4 and Gemini 2.5) demonstrated good overall performance when addressing specialised clinical questions related to total knee arthroplasty derived from the WEMA.

Oriol Pujol, R. Ferrer, Alex Coelho et al. · Knee Surgery, Sports Traumat... · 1 citation