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Author

Kristian Samuelsson

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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. · 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. · 1 citation

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