Institut Gustave Roussy

Promises and challenges for the implementation of computational medical imaging (radiomics) in oncology

Elaine Johanna Limkin, Roger Sun, Laurent Dercle et al.

2017 · 765 Zit.

A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial

Jean‐Emmanuel Bibault, Benjamin Chaix, Arthur Guillemassé et al.

2019 · 196 Zit.

The European Society for Medical Oncology (ESMO) Precision Medicine Glossary

Lucy Yates, Joan Seoane, Christophe Le Tourneau et al.

2017 · 160 Zit.

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.

2020 · 158 Zit.

Assessment of Performance, Interpretability, and Explainability in Artificial Intelligence–Based Health Technologies: What Healthcare Stakeholders Need to Know

Line Farah, Juliette Murris, Isabelle Borget et al.

2023 · 63 Zit.

Application of Machine Learning Models to Predict Recurrence After Surgical Resection of Nonmetastatic Renal Cell Carcinoma

Z. Khene, Pierre Bigot, N. Doumerc et al.

2022 · 49 Zit.

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

Nathalie Lassau, Théo Estienne, P. de Vomecourt et al.

2019 · 44 Zit.

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux et al.

2020 · 42 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.

The path from big data analytics capabilities to value in hospitals: a scoping review

Pierre-Yves Brossard, Étienne Minvielle, Claude Sicotte

2022 · 36 Zit.

Are current clinical studies on artificial intelligence-based medical devices comprehensive enough to support a full health technology assessment? A systematic review

Line Farah, Julie Davaze-Schneider, Tess Martin et al.

2023 · 31 Zit.

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis

André Pfob, Chris Sidey‐Gibbons, R. Graham Barr et al.

2022 · 29 Zit.

Artificial intelligence in interventional radiology: Current concepts and future trends

Armelle Lesaunier, Julien Khlaut, Corentin Dancette et al.

2024 · 27 Zit.

Suitability of the Current Health Technology Assessment of Innovative Artificial Intelligence-Based Medical Devices: Scoping Literature Review

Line Farah, Isabelle Borget, Nicolas Martelli et al.

2024 · 25 Zit.

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data

Kathryn Schutte, Fabien Brulport, Sana Harguem-Zayani et al.

2022 · 20 Zit.