Université Paris Cité
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines
Lawrence T. Goodnough, Alice Maniatis, Peter Earnshaw et al.
2010 · 536 Zit.
Machine learning for clinical decision support in infectious diseases: a narrative review of current applications
Nathan Peiffer‐Smadja, Timothy M. Rawson, Raheelah Ahmad et al.
2019 · 522 Zit.
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.
2022 · 444 Zit.
Blockchain technology for improving clinical research quality
Mehdi Benchoufi, Philippe Ravaud
2017 · 377 Zit.
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
Augustin Lecler, Loïc Duron, Philippe Soyer
2023 · 370 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 · 290 Zit.
Patients’ views of wearable devices and AI in healthcare: findings from the ComPaRe e-cohort
Viet-Thi Tran, Carolina Riveros, Philippe Ravaud
2019 · 283 Zit.
Open science saves lives: lessons from the COVID-19 pandemic
Lonni Besançon, Nathan Peiffer‐Smadja, Corentin Ségalas et al.
2021 · 260 Zit.
A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI
Viknesh Sounderajah, Hutan Ashrafian, Sherri Rose et al.
2021 · 223 Zit.
Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist
Partho P. Sengupta, Sirish Shrestha, Béatrice Berthon et al.
2020 · 208 Zit.
Artificial Intelligence & Creativity: A Manifesto for Collaboration
Florent Vinchon, Todd Lubart, Sabrina Bartolotta et al.
2023 · 177 Zit.
AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia
Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.
2020 · 158 Zit.
Demystification of AI-driven medical image interpretation: past, present and future
Peter Savadjiev, Jaron Chong, Anthony Dohan et al.
2018 · 151 Zit.
Assessment of an AI Aid in Detection of Adult Appendicular Skeletal Fractures by Emergency Physicians and Radiologists: A Multicenter Cross-sectional Diagnostic Study
Loïc Duron, Alexis Ducarouge, André Gillibert et al.
2021 · 139 Zit.
Large language models and their impact in ophthalmology
Bjorn Kaijun Betzler, Haichao Chen, Ching‐Yu Cheng et al.
2023 · 134 Zit.