Université Grenoble Alpes
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Trustworthy clinical AI solutions: A unified review of uncertainty quantification in Deep Learning models for medical image analysis
Benjamin Lambert, Florence Forbes, Senan Doyle et al.
2024 · 149 Zit.
Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities
Rémy Kusters, Dusan Misevic, Hugues Berry et al.
2020 · 111 Zit.
Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4
Martin Krusche, Johanna Callhoff, Johannes Knitza et al.
2023 · 90 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.
Prevalence of nonsensical algorithmically generated papers in the scientific literature
Guillaume Cabanac, Cyril Labbé
2021 · 77 Zit.
What’s new in ICU in 2050: big data and machine learning
Sébastien Bailly, Geert Meyfroidt, Jean‐François Timsit
2017 · 62 Zit.
Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy
Markus Gräf, Johannes Knitza, Jan Leipe et al.
2022 · 60 Zit.
Privacy-preserving and bandwidth-efficient federated learning
Raouf Kerkouche, Gergely Ács, Claude Castelluccia et al.
2021 · 42 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.
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.
Vignette-based comparative analysis of ChatGPT and specialist treatment decisions for rheumatic patients: results of the Rheum2Guide study
Hannah Labinsky, Lea-Kristin Nagler, Martin Krusche et al.
2024 · 11 Zit.
Revolutionizing Radiological Analysis: The Future of French Language Automatic Speech Recognition in Healthcare
Mariem Jelassi, Oumaima Jemai, Jacques Demongeot
2024 · 10 Zit.
Current knowledge and availability of machine learning across the spectrum of trauma science
Tobias Gauss, Zane Perkins, Thorsten Tjardes
2023 · 8 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.