Université de Limoges

Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis

Elpidio Attoh-Mensah, Arnaud Boujut, Mikaël Desmons et al.

2025 · 8 Zit.

Federated Learning: Centralized and P2P for a Siamese Deep Learning Model for Diabetes Foot Ulcer Classification

Mohammud Shaad Ally Toofanee, Mohamed Hamroun, Sabeena Dowlut et al.

2023 · 7 Zit.

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

Alexandre O. Gérard, Diane Merino, Marc Labriffe et al.

2025 · 6 Zit.

AI-enhanced thyroid detection using YOLO to empower healthcare professionals

Haifa Ghabri, Wyssem Fathallah, Mohamed Hamroun et al.

2023 · 5 Zit.

Predictive models of clinical outcome of endovascular treatment for anterior circulation stroke using machine learning

Clement Bogey, Aymeric Rouchaud, Gentric Jean-Christophe et al.

2025 · 1 Zit.

Une derive malveillante de l’intelligence artificielle est-elle possible ?

Thierry Berthier

2016 · 1 Zit.

Optimized therapeutic drug monitoring: the role of machine learning models

Hamza Sayadi, Yeleen Fromage, Marc Labriffe et al.

2025 · 1 Zit.

Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup

Walid Sabeur, Pierre-Adrien Bihl, Bruno Gauthier et al.

2025 · 0 Zit.

Assessing Individual Cost-Effectiveness Ratios (ICER) associated with health care using AI based-clinical decision support systems: which ethical issues?

Clémence Thébaut, Jean‐Claude K. Dupont, Vincent Jolivet et al.

2023 · 0 Zit.

Validation of a generative artificial intelligence tool for the critical appraisal of articles on the epidemiology of mental health: Its application in the Middle East and North Africa

Moussa Cheima, Sarah Altayyar, Marion Vergonjeanne et al.

2025 · 0 Zit.

Beyond the hype: The multifaceted reality of artificial intelligence in pharmacology

Jean-Baptiste Woillard

2025 · 0 Zit.

Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries

Maida M, Papaefthymiou A, G Z E K E R E S et al.

2025 · 0 Zit.