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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

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

Guillaume Chassagnon, Maria Vakalopoulou, Enzo Battistella et al.

2020 · 158 Zit.

Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease

Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg et al.

2023 · 83 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.

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.

Top 10 Reviewer Critiques of Radiology Artificial Intelligence (AI) Articles: Qualitative Thematic Analysis of Reviewer Critiques of Machine Learning/Deep Learning Manuscripts Submitted to JMRI

Jules Grégory, Sara Welliver, Jaron Chong

2020 · 27 Zit.

Learning from the machine: AI assistance is not an effective learning tool for resident education in chest x-ray interpretation

Guillaume Chassagnon, Nicolas Billet, Caroline Rutten et al.

2023 · 18 Zit.

Evaluation of ChatGPT in Predicting 6-Month Outcomes After Traumatic Brain Injury*

Clément Gakuba, Charlene Le Barbey, Alexandre Sar et al.

2024 · 15 Zit.

Large Language Models for Diagnosing Focal Liver Lesions From <scp>CT</scp>/<scp>MRI</scp> Reports: A Comparative Study With Radiologists

Liuji Sheng, Yidi Chen, Hong Wei et al.

2025 · 14 Zit.

Faut-il encore des dissections en faculté de médecine ?

C. Vacher, V. Delmas

2009 · 13 Zit.

CIRSE Position Paper on Artificial Intelligence in Interventional Radiology

Arash Najafi, Roberto Luigi Cazzato, Bernhard Meyer et al.

2023 · 12 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.

Exploring the risks of over-reliance on AI in diagnostic pathology. What lessons can be learned to support the training of young pathologists?

Yaëlle Bellahsen‐Harrar, Mélanie Lubrano, Charles Lépine et al.

2025 · 4 Zit.

Using machine learning for predicting outcomes in <scp>ACLF</scp>

Marta Tonon, Richard Moreau

2022 · 4 Zit.

Improving Robustness and Interpretability of Models — Including Machine Learning — in Orthopedics through Data Preprocessing

Baptiste Boukebous, Jacques‐Emmanuel Galimard, David Biau

2025 · 3 Zit.

How is Video Efficient to Diagnose Sport-Related Concussion? A Cross-Sectional Study in the French TOP14 Rugby Championship

Charlotte Gil, Madalina Jacota, Yohan Caudron et al.

2021 · 3 Zit.