Centre Hospitalier Universitaire de Grenoble

Should AI models be explainable to clinicians?

G. Abgrall, Andre L. Holder, Zaineb Chelly Dagdia et al.

2024 · 109 Zit.

Development of artificial intelligence powered apps and tools for clinical pharmacy services: A systematic review

Florence Ranchon, Sébastien Chanoine, Sophie Lambert‐Lacroix et al.

2022 · 78 Zit.

What’s new in ICU in 2050: big data and machine learning

Sébastien Bailly, Geert Meyfroidt, Jean‐François Timsit

2017 · 62 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.

Specialized Large Language Model Outperforms Neurologists at Complex Diagnosis in Blinded Case-Based Evaluation

Sami Barrit, Nathan Torcida, Aurélien Mazeraud et al.

2025 · 13 Zit.

From promise to practice: A roadmap for artificial intelligence in critical care

Geoffray Agard, Sami Hraiech, Tobias Gauss

2025 · 7 Zit.

Double Reading of Outsourced CT/MR Radiology Reports: Retrospective Analysis

Jean-François Vendrell, Julien Frandon, Bastien Boussat et al.

2018 · 7 Zit.

Neura: a specialized large language model solution in neurology

Sami Barrit, Nathan Torcida, Aurélien Mazeraud et al.

2024 · 7 Zit.

Will artificial intelligence change the job of the cardiac imaging specialist?

Gilles Barone‐Rochette

2019 · 5 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.

Machine Learning and the Fourth Industrial Revolution: Transforming Immunocompromise Assessment in Critical Care

Scott Pappada, Thomas J. Papadimos, Guillame Dumas

2025 · 1 Zit.

[Interpretation of chest radiographs in the intensive care unit: a hard- versus soft-copy comparative study].

Ivan Bricault, Bosson Jl, P Decléty et al.

2003 · 1 Zit.

FO051THE IMPACT OF GFR EVALUATION TECHNIQUE ON LIVING KIDNEY DONATION ELIGIBILITY

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

2018 · 0 Zit.

Évaluation des connaissances et représentations de l’intelligence artificielle en transplantation d’organe solide chez les patients et professionnels de santé

Léa Liaigre, Monica A. Stoops, D. Lombardo et al.

2024 · 0 Zit.

Intelligence artificielle et nouvelles technologies en anesthésie-réanimation

Yann Vallod

2026 · 0 Zit.