Lille’s Cardiology Hospital

Impact of the rise of artificial intelligence in radiology: What do radiologists think?

Q. Waymel, Sammy Badr, Xavier Demondion et al.

2019 · 181 Zit.

Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques, Laure Fournier, Marc Zins et al.

2020 · 20 Zit.

Machine learning score to predict in-hospital outcomes in patients hospitalized in cardiac intensive care unit

Orianne Weizman, Kenza Hamzi, Patrick Henry et al.

2024 · 3 Zit.

ECOSBot: a multicenter validation pilot study of a generative AI tool for OSCE-based nephrology training

Raphaël Bentegeac, Nans Florens, Mehdi Maanaoui et al.

2025 · 1 Zit.

AI-assisted dermatologic diagnosis using a large language model

F. Dezoteux, M. Boileau, Clément Pruvot et al.

2025 · 1 Zit.

PARROT, an open multilingual radiology reports dataset

Bastien Le Guellec, Kokou Adambounou, Lisa C. Adams et al.

2025 · 1 Zit.

Implementing Machine Learning in Interventional Cardiology: The Benefits are Worth the Trouble

Walid Ben Ali, Ahmad Pesaranghader, Robert Avram et al.

2021 · 1 Zit.

Development and Comparative Evaluation of Three Artificial Intelligence Models (NLP, LLM, JEPA) for Predicting Triage in Emergency Departments: A 7-Month Retrospective Proof-of-Concept

Édouard Lansiaux, Ramy Azzouz, E. Chazard et al.

2025 · 0 Zit.

Safety and efficacy of privacy-preserving models to create Lay summaries of brain MRI reports

Bastien Le Guellec, Raphael Bentegeac, Lucas Shorten et al.

2026 · 0 Zit.

INSIGHT-AI France: Baseline survey on knowledge, attitudes, and practices toward AI in cardiology

Nabil Bouali, S. Domart, W. Amara et al.

2026 · 0 Zit.