Centre Léon Bérard

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux et al.

2020 · 43 Zit.

Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice

Loïc Verlingue, C Boyer, Louise Olgiati et al.

2024 · 36 Zit.

Impact of artificial intelligence in transforming the doctor–cancer patient relationship

Pierre-Étienne Heudel, Hugo Crochet, Jean‐Yves Blay

2024 · 14 Zit.

ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)

Evelyn Wong, Loïc Verlingue, Mihaela Aldea et al.

2025 · 11 Zit.

Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations

Loic Ah-Thiane, Pierre‐Etienne Heudel, Mario Campone et al.

2025 · 10 Zit.

From data strategy to implementation to advance cancer research and cancer care: A French comprehensive cancer center experience

Pierre-Étienne Heudel, Hugo Crochet, Thierry Durand et al.

2023 · 9 Zit.

Transforming breast cancer management with real-world data and artificial intelligence

Pierre-Étienne Heudel, Benoîte Méry, Hugo Crochet et al.

2024 · 4 Zit.

A Validated and Explainable Deep Learning Model Instantly Predicts Survival from Consultation Reports

Clément Piat, Quentin Blampey, Alexandre Joutard et al.

2023 · 4 Zit.

The impact of tele-expertise in oncology: current state and future perspectives

Pierre-Étienne Heudel, Mona Amini‐Adlé, Julien Anriot et al.

2025 · 2 Zit.

Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project

Tiphaine Diot-Dejonghe, Benjamin Leporq, Amine Bouhamama et al.

2024 · 2 Zit.

Abstract 3475: Prediction of nausea or vomiting, and fatigue or malaise in cancer care

Raphael Vienne, Quentin Filori, Vincent Susplugas et al.

2024 · 2 Zit.

An explainable language model predicts survival from medical reports in oncology

Clément Piat, Quentin Blampey, Alexandre Joutard et al.

2025 · 0 Zit.

Consore: A Powerful Federated Data Mining Tool Driving a French Research Network to Accelerate Cancer Research

Julien Guérin, Amine Nahid, Louis Tassy et al.

2023 · 0 Zit.

316P Interpreting small generative LLMs for oncology trial matching using gradient-based attribution under low-resource settings

Clément Brutti-Mairesse, Luca Olgiati, Lorraine Gueguen et al.

2025 · 0 Zit.

A Novel Digital Framework for Conducting Multicenter Prospective Clinical Studies: An Open-Source Approach to Democratizing Medical Research

Hugo Despert, Claude Oppikofer, F.-R. Dupuy et al.

2025 · 0 Zit.