Centre Léon Bérard
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in oncology: ensuring safe and effective integration of language models in clinical practice
Loïc Verlingue, C Boyer, Louise Olgiati et al.
2024 · 31 Zit.
Impact of artificial intelligence in transforming the doctor–cancer patient relationship
Pierre-Étienne Heudel, Hugo Crochet, Jean‐Yves Blay
2024 · 14 Zit.
Large Language Models as Decision-Making Tools in Oncology: Comparing Artificial Intelligence Suggestions and Expert Recommendations
Loic Ah-Thiane, Pierre-Étienne Heudel, Mario Campone et al.
2025 · 8 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 · 7 Zit.
ESMO guidance on the use of Large Language Models in Clinical Practice (ELCAP)
Evelyn Wong, Loïc Verlingue, Mihaela Aldea et al.
2025 · 5 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.
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.
Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis
Pierre-Étienne Heudel, Mashal Claude Ahmed, Félix Renard et al.
2025 · 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.
202P Multi-agent for clinical decision support in molecular tumor board
C. Brodin, D. Boutemy, D. Boukari et al.
2025 · 0 Zit.
CN5 Predicting patients early discontinuation in oncology clinical trials using language models
L. Olgiati, S. Toueress, C. Bruttimairesse et al.
2025 · 0 Zit.