Centre Hospitalier Universitaire de Rennes

Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.

2020 · 205 Zit.

Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Justin Collins, Hani J. Marcus, Ahmed Ghazi et al.

2021 · 68 Zit.

The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Élise Bannier, Gareth J. Barker, Valentina Borghesani et al.

2021 · 60 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.

Data-sharing recommendations in biomedical journals and randomised controlled trials: an audit of journals following the ICMJE recommendations

Maximilian Siebert, Jeanne Fabiola Gaba, Laura Caquelin et al.

2020 · 45 Zit.

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

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

2019 · 43 Zit.

Automatic matching of surgeries to predict surgeons’ next actions

Germain Forestier, François Petitjean, Laurent Riffaud et al.

2017 · 30 Zit.

Artificial Intelligence-Based Opportunities in Liver Pathology—A Systematic Review

Pierre Allaume, Noémie Rabilloud, Bruno Turlin et al.

2023 · 22 Zit.

Development of a Personalized Chat Model Based on the European Association of Urology Oncology Guidelines: Harnessing the Power of Generative Artificial Intelligence in Clinical Practice

Z. Khene, Pierre Bigot, Romain Mathiéu et al.

2023 · 22 Zit.

Artificial intelligence in functional urology: how it may shape the future

Imad Bentellis, Sonia Guérin, Z. Khene et al.

2021 · 21 Zit.

The Application of Artificial Intelligence in Prostate Cancer Management—What Improvements Can Be Expected? A Systematic Review

R. Thenault, K. Kaulanjan, Thomas Darde et al.

2020 · 21 Zit.

Poor visibility of retracted articles: a problem that should no longer be ignored

Christophe Boudry, Katherine Howard, F. Mouriaux

2023 · 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.

Digital Representation of Patients as Medical Digital Twins: Data-Centric Viewpoint

Stanislas Demuth, J. de Sèze, Gilles Edan et al.

2025 · 11 Zit.

Results reporting for clinical trials led by medical universities and university hospitals in the nordic countries was often missing or delayed

Gustav Nilsonne, Susanne Wieschowski, Nicholas DeVito et al.

2025 · 7 Zit.