AID-RT: Standardising Artificial Intelligence Documentation in RadioTherapy with a domain-specific model card

20260 citationsJournal Articlegold Open Access

Authors

Ana M. Barragán-Montero · European Society for Therapeutic Radiology and Oncology

Margerie Huet-Dastarac · European Society for Therapeutic Radiology and Oncology

Silvia M. Herranz-Hernández · European Society for Therapeutic Radiology and Oncology

Benjamin Tengler · University of Tübingen

Emma Riis Skarsø · Aarhus University

Arthur Galapon · University Medical Center Groningen

Abstract

We proposed a practical, consensus-driven template tailored to the unique requirements of AI models in RT, with applicability in both research and clinical environments, conveying the key information required for informed use.

Topics & Keywords

Artificial Intelligence in Healthcare and Education Radiology practices and education Explainable Artificial Intelligence (XAI)

Publication Details

Published in: Physics and Imaging in Radiation Oncology

Volume 38, pp. 100940-100940

DOI: 10.1016/j.phro.2026.100940

Field-Weighted Citation Impact: 0.00

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AID-RT: Standardising Artificial Intelligence Documentation in RadioTherapy with a domain-specific model card

Authors

Abstract

Topics & Keywords

Publication Details