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 · 761 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 · 62 Zit.

How individual participant data meta-analyses have influenced trial design, conduct, and analysis

Jayne F. Tierney, Jean‐Pierre Pignon, Francois Gueffyier et al.

2015 · 57 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 · 48 Zit.

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

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

2019 · 43 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.

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.

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.

Artificial intelligence in interventional radiology: Current concepts and future trends

Armelle Lesaunier, Julien Khlaut, Corentin Dancette et al.

2024 · 25 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 · 23 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.

AI-Driven CT-based quantification, staging and short-term outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.

2020 · 17 Zit.

Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge

Younes Belkouchi, Mathieu Léderlin, Amira Ben Afia et al.

2023 · 16 Zit.

Conducting observational analyses with the target trial emulation approach: a methodological systematic review

Noémie Simon‐Tillaux, Guillaume L. Martin, David Hajage et al.

2024 · 9 Zit.