Standardising AI Model Reporting for Radiotherapy: A Domain-Specific Model Card
Artificial intelligence (AI) is becoming ubiquitous in radiation therapy (RT), with both in-house and commercial models reaching clinical practice. However, there is a lack of transparency when transferring these models from development to end-users, due to insufficient documentation of their specifications and performance. This hinders clinicians' trust, model comparability and selection. Tools like model cards [1] and datasheets [2] aim to overcome this, but despite recent efforts to adopt them in RT [3], there is not yet a comprehensive, practical, and domain-specific standard for reporting AI models. We present an RT-specific model card to standardise documentation and increase transparency, operability, and trust in clinically-used AI models.
Institutions
- UCLouvain (BE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-04
- DOI
- https://doi.org/10.5281/zenodo.15336016
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00