Artificial intelligence for precision medicine
This review offers both an introduction to AI and a practical overview of how it is being used, and where its limitations lie, in precision medicine, with the goal of helping healthcare professionals understand these evolving tools and use them efficiently and responsibly in clinical practice.
Authors
- Vincent Sobanski (ORCID: https://orcid.org/0000-0003-3083-2441)
- Adán José-García (ORCID: https://orcid.org/0000-0003-2623-5206)
- Celine Vens (ORCID: https://orcid.org/0000-0003-0983-256X)
- Maarten De Vos (ORCID: https://orcid.org/0000-0002-3482-5145)
- M. Martel
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Université de Lille (FR)
- Centre Hospitalier Universitaire de Lille (FR)
- IMEC (BE)
- Lille Inflammation Research International Center (FR)
- Université Lille Nord de France (FR)
- KU Leuven (BE)
Publication Details
- Journal
- Therapies
- Published
- 2025-10-08
- DOI
- https://doi.org/10.1016/j.therap.2025.10.003
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36