Corrigendum to ‘Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines’

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Authors: Martin Joachim Hetz, N. Carl, S. Haggenmüller, C. Wies, JN Kather, M.S. Michel, Frederik Wessels, TJ Brinker
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Abstract

The authors regret that the original article did not explicitly state that the 2024 European Association of Urology (EAU) Guidelines were downloaded and utilised with written permission from the EAU Guidelines Office. The guidelines were used as a reference source to support the development and evaluation of the language model. The study was conducted independently, and responsibility for the content, interpretation, and conclusions of the work lies solely with the authors. The EAU was not involved in the study design, analysis, or manuscript preparation and does not endorse or assume responsibility for the application or its outputs.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Explainable Artificial Intelligence (XAI) Machine Learning in Healthcare

Publication details

Journal / source
ESMO Real World Data and Digital Oncology
Volume
11
Pages
100687–100687
Publication date
17 February 2026
Language
EN