Concordance in Basal Cell Carcinoma Diagnosis. Building a Proper Standard Reference to Train Artificial Intelligence Tools
Deriving an SR from multiple expert opinions mitigates individual bias and enhances AI interpretability, key for its clinical adoption.
Authors
- Begoña Acha (ORCID: https://orcid.org/0000-0001-7838-5746)
- Carmen Serrano (ORCID: https://orcid.org/0000-0003-3008-6231)
- Amalia Serrano
- Francisca Silva‐Clavería (ORCID: https://orcid.org/0000-0002-4704-265X)
- Tomás Toledo‐Pastrana (ORCID: https://orcid.org/0000-0002-1329-260X)
- Iván Matas
Institutions
- Hospital Universitario Virgen Macarena (ES)
- Hospital Quirónsalud Sagrado Corazón (ES)
- Universidad de Sevilla (ES)
Publication Details
- Journal
- Skin Research and Technology
- Published
- 2025-10-01
- DOI
- https://doi.org/10.1111/srt.70277
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministerio de Ciencia e Innovación
- European Regional Development Fund
- Agencia Estatal de Investigación