Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup

The arrival of AI in medical biology is inevitable, and in many ways these tools are already in use in our laboratories. Given this observation, it was determined that it was imperative for the French Society of Clinical Biology to offer a set of resources to enable medical biologists to master these new tools by understanding their complexity and the risks inherent in using such powerful but obscure tools. The "Clinical Biology and Artificial Intelligence" workgroup was created to meet this need. Beginning with a user survey to identify needs, we will eventually offer a set of educational content, guidelines, checklists, and practical guides to facilitate the successful integration of AI tools and their long-term monitoring in medical biology laboratories.

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Publication Details

Journal
Annales de biologie clinique
Published
2025-12-01
DOI
https://doi.org/10.1684/abc.2025.2017
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup

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Annales de biologie clinique
Artificial Intelligence in Healthcare and Education
article

Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup

Xavier Vanhoye, Floris Chabrun, Marie-Agnès Costa, Alexandre Janel, Constance Delaby, Xavier Dieu, Pierre-Adrien Bihl, Raphael Thuillier-Duperrier, Nawal Belkaid, Bruno Gauthier, Walid Sabeur, Estelle Bugni, Jean-Pascal Siest, Bénédicte Lelièvre, Laurence Strompf-Silvestre, Imen Dammak
article en

Abstract

The arrival of AI in medical biology is inevitable, and in many ways these tools are already in use in our laboratories. Given this observation, it was determined that it was imperative for the French Society of Clinical Biology to offer a set of resources to enable medical biologists to master these new tools by understanding their complexity and the risks inherent in using such powerful but obscure tools. The "Clinical Biology and Artificial Intelligence" workgroup was created to meet this need. Beginning with a user survey to identify needs, we will eventually offer a set of educational content, guidelines, checklists, and practical guides to facilitate the successful integration of AI tools and their long-term monitoring in medical biology laboratories.

Annales de biologie cliniqueVol. 83(6)
Centre National de la Recherche Scientifique (FR), XLAB (Slovenia) (SI), Inserm (FR), Université Lumière Lyon 2 (FR), Hospital de Sant Pau (ES), Université de Poitiers (FR), Hôpital Louis-Mourier (FR), Assistance Publique – Hôpitaux de Paris (FR), Centre Hospitalier Régional et Universitaire de Nancy (FR), University of Clermont Auvergne (FR), Centre Hospitalier Universitaire d'Angers (FR), Centre Hospitalier Universitaire de Limoges (FR), Laboratoire d'Étude des Microstructures (FR), Eurofins (France) (FR), Mouloud Mammeri University of Tizi-Ouzou (DZ), Henri Poincaré Institute (FR), Adaptation Biologique et Vieillissement (FR), Université d'Angers (FR), Université de Limoges (FR), Université de Lorraine (FR)
Quality Education
Openalex Percentile: Top 36%
Artificial Intelligence in Healthcare and Education
DOISourceOpenAlex
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