Centre Hospitalier Régional et Universitaire de Nancy

Electronic health records to facilitate clinical research

Martín Cowie, Juuso Blomster, Lesley H. Curtis et al.

2016 · 657 Zit.

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

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

2019 · 43 Zit.

Interventional radiology and artificial intelligence in radiology: Is it time to enhance the vision of our medical students?

Pierre Auloge, Julien Garnon, Joey Marie Robinson et al.

2020 · 16 Zit.

A decision support system improves the interpretation of myocardial perfusion imaging

Kristina Tägil, Michaël Bondouy, J.-P. Chaborel et al.

2008 · 10 Zit.

Clinical impact of an explainable machine learning with amino acid PET imaging: application to the diagnosis of aggressive glioma

Shamimeh Ahrari, Timothée Zaragori, Adeline Zinsz et al.

2025 · 2 Zit.

Impact of AI assistance on radiologist interpretation of knee MRI

Guillaume Herpe, Tom Vesoul, Pascal Zille et al.

2025 · 2 Zit.

FO051THE IMPACT OF GFR EVALUATION TECHNIQUE ON LIVING KIDNEY DONATION ELIGIBILITY

F. Gaillard, Marie Courbebaisse, Nassim Kamar et al.

2018 · 0 Zit.

The “right” track!

O. Laccourreye, E. Lescanne, R. Jankowski

2024 · 0 Zit.

Responsabilité du radiologue à l’ère de l’intelligence artificielle : cadre juridique et recommandations pratiques

A. Blum, B. Py, V. Guillot-Triller et al.

2026 · 0 Zit.

Clinical biology and artificial intelligence: Objectives of the SFBC Workgroup

Walid Sabeur, Pierre-Adrien Bihl, Bruno Gauthier et al.

2025 · 0 Zit.