Hôpital Bichat-Claude-Bernard

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 · 529 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 · 49 Zit.

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux et al.

2020 · 43 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 · 38 Zit.

Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies

Jérémy Hofmeister, Nicolás Garin, Xavier Montet et al.

2024 · 17 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 · 11 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.

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 · 4 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.

Do publications of machine learning models justify the enthusiasm they generate?

Nathan El Bèze, Lévi-Dan Azoulay

2024 · 1 Zit.

Constitution d’une cohorte de patients opérés pour Tumeur Intracanalaire Papillaire et Mucineuse (TIPMP) et extraction automatisée des caractéristiques tumorales à partir de l’Entrepôt de Données de Santé (EDS) de l’AP-HP à l’aide d’algorithmes de recherche textuelle et de modèles de langage de grande taille (LLM)

Paul Brasseur, Kankoé Lévi Sallah, Axelle Dupont et al.

2026 · 0 Zit.

Correction: Acceptability of Health Information Technology by Health Care Professionals: Where We Are Now and How We Can Fill the Gap

Corinne Isnard-Bagnis, Stéphane Mouchabac, Riadh Lebib et al.

2026 · 0 Zit.