Hôpital Bichat-Claude-Bernard
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
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 · 517 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 for COVID-19 needs global collaboration and data-sharing
Nathan Peiffer‐Smadja, Redwan Maatoug, François-Xavier Lescure et al.
2020 · 76 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.
Putting undergraduate medical students in AI-CDSS designers’ shoes: An innovative teaching method to develop digital health critical thinking
Rosy Tsopra, Nathan Peiffer‐Smadja, Caroline Charlier et al.
2022 · 37 Zit.
Machine learning to predict antimicrobial resistance: future applications in clinical practice?
Yousra Kherabi, Michaël Thy, Donia Bouzid et al.
2024 · 18 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.
Data capture by digital pen in clinical trials: A qualitative and quantitative study
Candice Estellat, Florence Tubach, Yolande Costa et al.
2007 · 15 Zit.
Faut-il encore des dissections en faculté de médecine ?
C. Vacher, V. Delmas
2009 · 13 Zit.
Clinical utility of a deep-learning mortality prediction model for cardiac surgery decision making
Nicolas Allou, Jérôme Allyn, Sophie Provenchère et al.
2023 · 8 Zit.
Machine learning, antimicrobial stewardship, and solid organ transplantation: Is this the future?
Yousra Kherabi, Jonathan Messika, Nathan Peiffer‐Smadja
2022 · 7 Zit.
Cardiology in the Digital Era: From Artificial Intelligence to Metaverse, Paving the Way for Future Advancements
Ioannis Skalidis, Ioannis Kachrimanidis, Leonidas Koliastasis et al.
2023 · 6 Zit.
Relevance of medical information obtained from ChatGPT: Are large language models friends or foes?
Jules Mesnier, Gaspard Suc, Neila Sayah et al.
2023 · 4 Zit.
Machine learning score to predict in-hospital outcomes in patients hospitalized in cardiac intensive care unit
Orianne Weizman, Kenza Hamzi, Patrick Henry et al.
2024 · 3 Zit.
Do publications of machine learning models justify the enthusiasm they generate?
Nathan El Bèze, Lévi-Dan Azoulay
2024 · 1 Zit.