Université Grenoble Alpes

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 · 170 Zit.

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Rémy Kusters, Dusan Misevic, Hugues Berry et al.

2020 · 114 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 · 99 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 · 85 Zit.

Prevalence of nonsensical algorithmically generated papers in the scientific literature

Guillaume Cabanac, Cyril Labbé

2021 · 78 Zit.

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy

Markus Gräf, Johannes Knitza, Jan Leipe et al.

2022 · 63 Zit.

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

Sébastien Bailly, Geert Meyfroidt, Jean‐François Timsit

2017 · 62 Zit.

Privacy-preserving and bandwidth-efficient federated learning

Raouf Kerkouche, Gergely Ács, Claude Castelluccia et al.

2021 · 44 Zit.

Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study

Johannes Knitza, Felix Muehlensiepen, Yuriy Ignatyev et al.

2022 · 43 Zit.

Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students

Johannes Knitza, Koray Taşçılar, Éva Gruber et al.

2021 · 41 Zit.

Machine learning-based prediction of emergency neurosurgery within 24 h after moderate to severe traumatic brain injury

Jean-Denis Moyer, Patrick Lee, Charles Bernard et al.

2022 · 39 Zit.

Diagnostic Accuracy of a Mobile AI-Based Symptom Checker and a Web-Based Self-Referral Tool in Rheumatology: Multicenter Randomized Controlled Trial

Johannes Knitza, Koray Taşçılar, Franziska Fuchs et al.

2024 · 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 · 12 Zit.

Proceedings of the 4th World Conference on Research Integrity

Susan Patricia O’Brien, Danny Chan, Fks Leung et al.

2016 · 12 Zit.