Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study

Authors

Armin Kraus (ORCID: https://orcid.org/0000-0001-6557-2163)
Gerrit Grieb (ORCID: https://orcid.org/0000-0002-7302-210X)
Philipp Moog (ORCID: https://orcid.org/0000-0001-5002-8149)
Lindsay Muir (ORCID: https://orcid.org/0000-0002-8949-9148)
Henrik Stelling
Ibrahim Güler

Institutions

European Union (BE)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
HUN-REN Institute for Nuclear Research (HU)
TUM Klinikum (DE)
Salford Royal Hospital (GB)
Gemeinschaftskrankenhaus Havelhöhe (DE)
University Hospital Magdeburg (DE)
Klinikum Ernst von Bergmann (DE)
RWTH Aachen University (DE)

Publication Details

Journal: Journal of Hand Surgery (European Volume)
Published: 2026-04-21
DOI: https://doi.org/10.1177/17531934261436305
Primary Topic: Artificial Intelligence in Healthcare and Education
Type: article
Field-Weighted Citation Impact: 0.00

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article

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study

Armin Kraus, Gerrit Grieb, Philipp Moog, Lindsay Muir et al.

Apr 21, 2026

Journal of Hand Surgery (European Volume)

Artificial Intelligence in Healthcare and Education

article

Performance and reliability of large language models on the European Board of Hand Surgery examination: a multi-model evaluation study

Armin Kraus, Gerrit Grieb, Philipp Moog, Lindsay Muir, Henrik Stelling, Ibrahim Güler

April 21, 2026article en

Abstract

No abstract available for this paper.

Journal of Hand Surgery (European Volume)

European Union (BE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), HUN-REN Institute for Nuclear Research (HU), TUM Klinikum (DE), Salford Royal Hospital (GB), Gemeinschaftskrankenhaus Havelhöhe (DE), University Hospital Magdeburg (DE), Klinikum Ernst von Bergmann (DE), RWTH Aachen University (DE)

Quality Education

Openalex Percentile: Top 14%

Artificial Intelligence in Healthcare and Education

DOI Open Access PDF OpenAlex

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