Hôpital Avicenne

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

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.

2020 · 158 Zit.

Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays

Nor-Eddine Regnard, Boubekeur Lanseur, Jeanne Ventre et al.

2022 · 37 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.

Application of artificial intelligence in medical education: A meta-ethnographic synthesis

Wei Li, Hai-Yan Shi, Xiaoling Chen et al.

2024 · 8 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.

Raison et comparaison des intelligences : ChatGPT est-il seulement logique ?

Marie‐Christophe Boissier, Natacha Bessis

2023 · 1 Zit.

From imaginary friends to artificial companions: growing up with AI

Théo Mouhoud

2025 · 0 Zit.

Deep learning pipeline for trapezium segmentation in thumb radiographs

Victor Maigné, Youssef FRIKEL, Félix Barbier et al.

2026 · 0 Zit.

P4895Current use and misuse of troponin measurements form a large cohort: results of big data analysis

Christophe Meune, François‐Xavier Goudot, Nicolas Garnier et al.

2017 · 0 Zit.

Battle of the brains: A comparison of human and ChatGPT health editorials

Marie‐Christophe Boissier, Natacha Bessis

2023 · 0 Zit.

318P AI-driven dynamic prediction of prognosis in mNSCLC using CT scans and multimodal real-world data

T. Colin, J. Cadranel, S. Couraud et al.

2025 · 0 Zit.