Université de Bordeaux

Open science saves lives: lessons from the COVID-19 pandemic

Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al.

2021 · 257 Zit.

Artificial Intelligence: Applications in orthognathic surgery

P. Boulétreau, Masrour Makaremi, Badr Ibrahim et al.

2019 · 110 Zit.

Artificial Intelligence in Emergency Medicine: Viewpoint of Current Applications and Foreseeable Opportunities and Challenges

Gabrielle Chenais, Emmanuel Lagarde, Cédric Gil‐Jardine

2022 · 104 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.

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.

Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques, Laure Fournier, Marc Zins et al.

2020 · 20 Zit.

Use and safety of aprotinin in routine clinical practice

Stefan De Hert, Alexandre Ouattara, David Royston et al.

2022 · 18 Zit.

The risks of artificial intelligence: A narrative review and ethical reflection from an Oral Medicine group

Qingmei Joy Feng, Molly Harte, Barbara Carey et al.

2024 · 17 Zit.

“Artificial intelligence”: Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?

Vincent Diebolt, I Azancot, François‐Henri Boissel et al.

2018 · 15 Zit.

Comment on Starke et al.: ‘Computing schizophrenia: ethical challenges for machine learning in psychiatry’: from machine learning to student learning: pedagogical challenges for psychiatry

Christophe Gauld, Jean‐Arthur Micoulaud‐Franchi, Guillaume Dumas

2020 · 13 Zit.

Les innovations d’intelligence artificielle en radiologie à l’épreuve des régulations du système de santé

Léo Mignot, Émilien Schultz

2022 · 12 Zit.

Editorial: Explainable artificial intelligence for critical healthcare applications

Zhe He, Rui Zhang, Gayo Diallo et al.

2023 · 12 Zit.

Embracing AI: The Imperative Tool for Echo Labs to Stay Ahead of the Curve

Corina Maria Vasile, Xavier Iriart

2023 · 9 Zit.

The beating heart: artificial intelligence for cardiovascular application in the clinic

Manuel Villegas‐Martinez, Victor de Villedon de Naide, Vivek Muthurangu et al.

2024 · 8 Zit.

Roadmap for a European cancer data management and precision medicine infrastructure

Macha Nikolski, Eivind Hovig, Fátima Al‐Shahrour et al.

2024 · 8 Zit.