Bicêtre Hospital

Should AI models be explainable to clinicians?

G. Abgrall, Andre L. Holder, Zaineb Chelly Dagdia et al.

2024 · 135 Zit.

External validation of a commercially available deep learning algorithm for fracture detection in children

M. Dupuis, Léo Delbos, Raphaël Veil et al.

2021 · 89 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.

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI

Nathalie Lassau, Théo Estienne, P. de Vomecourt et al.

2019 · 44 Zit.

Three artificial intelligence data challenges based on CT and MRI

Nathalie Lassau, Imad Bousaid, Émilie Chouzenoux et al.

2020 · 43 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.

Knowledge, attitudes, and practices towards artificial intelligence among young pediatricians: A nationwide survey in France

Emma Perrier, Mahmoud Rifai, Arnaud Terzic et al.

2022 · 33 Zit.

Comparison of artificial intelligence and human-based prediction and stratification of the risk of long-term kidney allograft failure

Gillian Divard, Marc Raynaud, Vasishta Tatapudi et al.

2022 · 28 Zit.

External validation of an artificial intelligence solution for the detection of elbow fractures and joint effusions in children

M. Dupuis, Léo Delbos, Alexandra Rouquette et al.

2023 · 22 Zit.

Collaborative and privacy-enhancing workflows on a clinical data warehouse: an example developing natural language processing pipelines to detect medical conditions

Thomas Petit-Jean, Christel Gérardin, Emmanuelle Berthelot et al.

2024 · 22 Zit.

Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques, Laure Fournier, Marc Zins et al.

2020 · 20 Zit.

Detection and characterization of pancreatic lesion with artificial intelligence: The SFR 2023 artificial intelligence data challenge

Théodore Aouad, Valérie Laurent, Paul Levant et al.

2024 · 10 Zit.

Automation in Hematology

Dennis W. Ross, George Brecher, M Bessis

1981 · 6 Zit.

Perspectives on Artificial Intelligence in Medical Publishing: A Survey of Medical Journal Editors

Giuseppe Biondi‐Zoccai, Attilio Lauretti, Stefan Agewall et al.

2025 · 6 Zit.

Chatbots vs andrologists: Testing 25 clinical cases

Ophélie Perrot, Aurelie Schirmann, A. Vidart et al.

2024 · 5 Zit.