Hôpitaux Universitaires Henri-Mondor

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

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

2019 · 43 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.

Machine learning score to predict in-hospital outcomes in patients hospitalized in cardiac intensive care unit

Orianne Weizman, Kenza Hamzi, Patrick Henry et al.

2024 · 3 Zit.

Understanding the challenges to implementing AI solutions in radiology departments and how to overcome them: A comprehensive review endorsed by the French College of Radiologists (CERF) and the French Society of Radiology (SFR)

Amandine Crombé, Camille Bourillon, Stéphane Chaillou et al.

2025 · 2 Zit.

Enquête nationale de la Société française de pathologie sur la recherche et l’utilisation de l’intelligence artificielle (IA) appliquée à la pathologie

Pierre Allaume, Raphaël Bourgade, Arnaud Uguen et al.

2024 · 1 Zit.

Artificial intelligence for enhanced classification of intraoperative complications in urology

Z. Khene, Frédéric Panthier, Lucas Bento et al.

2025 · 0 Zit.

408P Combining rules and machine learning to improve sustainability and explicability of the extraction of pathological cancer markers from patient reports: Cross-sectional multicenter cohort study

Emmanuelle Kempf, Sonia Priou, Akram Redjdal et al.

2025 · 0 Zit.

Actions internationales de la radiologie française : bilan exhaustif avec focus sur le Vietnam et la Côte d’Ivoire, à l’honneur lors des JFR 2025

Jean‐Pierre Tasu, Andrew J. Krainik, César Ramos-Remus et al.

2025 · 0 Zit.

Assessing the diagnostic accuracy of ChatGPT-4 in the histopathological evaluation of liver fibrosis in metabolic dysfunction-associated steatotic liver disease

Thiyaphat Laohawetwanit, Davide Panzeri, Reha Akpinar et al.

2025 · 0 Zit.

Data validation and quality framework for building a european multimodal real-world dataset for clinical outcome research in sickle cell disease

Sara Reidel, Pablo Bartolucci, Bart J. Biemond et al.

2025 · 0 Zit.