Sorbonne Université
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser et al.
2019 · 8.635 Zit.
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France
M. Lai, M Brian, Marie‐France Mamzer
2020 · 294 Zit.
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence
Ali Guermazi, Chadi Tannoury, Andrew J. Kompel et al.
2021 · 262 Zit.
Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al.
2021 · 262 Zit.
A Chatbot Versus Physicians to Provide Information for Patients With Breast Cancer: Blind, Randomized Controlled Noninferiority Trial
Jean‐Emmanuel Bibault, Benjamin Chaix, Arthur Guillemassé et al.
2019 · 198 Zit.
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.
2020 · 158 Zit.
Machine learning and artificial intelligence in haematology
Roni Shouval, Joshua Fein, Bipin N. Savani et al.
2020 · 120 Zit.
Comparative benchmarking of the DeepSeek large language model on medical tasks and clinical reasoning
Mickaël Tordjman, Zelong Liu, Murat Yüce et al.
2025 · 117 Zit.
A framework for validating AI in precision medicine: considerations from the European ITFoC consortium
Rosy Tsopra, Xosé M. Fernández, Claudio Luchinat et al.
2021 · 100 Zit.
Prompt Engineering Paradigms for Medical Applications: Scoping Review
Jamil Zaghir, Marco Naguib, Mina Bjelogrlic et al.
2024 · 94 Zit.
EULAR points to consider for the use of big data in rheumatic and musculoskeletal diseases
Laure Gossec, Joanna Kedra, H. Servy et al.
2019 · 85 Zit.
Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review
Ferdinand Dhombres, Jules Bonnard, Kévin Bailly et al.
2022 · 82 Zit.
Use of machine learning in osteoarthritis research: a systematic literature review
Marie Binvignat, Valentina Pedoia, Atul J. Butte et al.
2022 · 82 Zit.
Machine learning and artificial intelligence in the service of medicine: Necessity or potentiality?
Tamim Alsuliman, Dania Humaidan, Layth Sliman
2020 · 82 Zit.
Psychiatrists' Attitudes Toward Disruptive New Technologies: Mixed-Methods Study
Alexis Bourla, Florian Ferreri, Laetitia Ogorzelec et al.
2018 · 80 Zit.