EndoCompass Project: Artificial Intelligence in Endocrinology
This component of the EndoCompass project provides an evidence-based roadmap for integrating AI into endocrine practice and research. The analysis demonstrates the need for balanced approaches that leverage AI capabilities while preserving clinical expertise. The findings support strategic investment in AI infrastructure, training, and fairness-aware system development.
Authors
- Guillaume Assié (ORCID: https://orcid.org/0000-0001-9590-0906)
- Jonathan Mertens (ORCID: https://orcid.org/0000-0002-4822-4113)
- Gustavo Carneiro (ORCID: https://orcid.org/0000-0002-5571-6220)
- Eleanor Davies (ORCID: https://orcid.org/0000-0001-8128-5404)
- Antoan Stefan Šojat (ORCID: https://orcid.org/0000-0003-0048-1265)
Institutions
- Centre National de la Recherche Scientifique (FR)
- University of Antwerp (BE)
- Inserm (FR)
- Université Paris Cité (FR)
- University of Surrey (GB)
- University of Belgrade (RS)
- Hôpital Cochin (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- Province of Antwerp (BE)
- University Clinical Centre (PL)
- Institut Cochin (FR)
- University of Glasgow (GB)
Publication Details
- Journal
- Hormone Research in Paediatrics
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1159/000549153
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00