Hôpital Cochin

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 · 537 Zit.

Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT

Augustin Lecler, Loïc Duron, Philippe Soyer

2023 · 373 Zit.

AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.

2020 · 158 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 · 143 Zit.

Artificial intelligence in diagnostic and interventional radiology: Where are we now?

Tom Boeken, Jean Feydy, Augustin Lecler et al.

2022 · 135 Zit.

How to report and compare quantitative variables in a radiology article

Maxime Barat, Anne‐Sophie Jannot, Anthony Dohan et al.

2022 · 116 Zit.

Artificial intelligence in emergency radiology: A review of applications and possibilities

Benjamin D. Katzman, Christian B. van der Pol, Philippe Soyer et al.

2022 · 83 Zit.

Artificial intelligence vs. radiologist: accuracy of wrist fracture detection on radiographs

Mathieu Cohen, Julien Puntonet, J Fernández Sánchez et al.

2022 · 69 Zit.

Does artificial intelligence surpass the radiologist?

Philippe Soyer, Elliot K. Fishman, Steven P. Rowe et al.

2022 · 54 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.

Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.

2023 · 43 Zit.

Assessment of performances of a deep learning algorithm for the detection of limbs and pelvic fractures, dislocations, focal bone lesions, and elbow effusions on trauma X-rays

Nor-Eddine Regnard, Boubekeur Lanseur, Jeanne Ventre et al.

2022 · 39 Zit.

Chatbot-based serious games: A useful tool for training medical students? A randomized controlled trial

Salma Al Kahf, Baptiste Roux, Sébastien Clerc et al.

2023 · 38 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.