Hôpital Necker-Enfants Malades

COVID-19-related medical research: a meta-research and critical appraisal

Marc Raynaud, Huanxi Zhang, Kévin Louis et al.

2021 · 181 Zit.

Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People

David Drummond, Adrien Coulet

2022 · 42 Zit.

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.

2025 · 41 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.

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

Emma Perrier, Mahmoud Rifai, Arnaud Terzic et al.

2022 · 30 Zit.

Children’s views on artificial intelligence and digital twins for the daily management of their asthma: a mixed-method study

Apolline Gonsard, Rola Abou‐Taam, Blandine Prévost et al.

2022 · 26 Zit.

Between competence and warmth: the remaining place of the physician in the era of artificial intelligence

David Drummond

2021 · 23 Zit.

Parents' views on artificial intelligence for the daily management of childhood asthma: a survey

Cindy Abdoul, Pierrick Cros, Laurianne Coutier et al.

2020 · 20 Zit.

TRIPOD+AI: an updated reporting guideline for clinical prediction models

Jérémie F. Cohen, Patrick M. Bossuyt

2024 · 18 Zit.

Searching practices and inclusion of unpublished studies in systematic reviews of diagnostic accuracy

Daniël A. Korevaar, Jean‐Paul Salameh, Yasaman Vali et al.

2020 · 18 Zit.

Artificial Intelligence Technologies in the Microsurgical Operating Room (Review)

A.E. Bykanov, G.V. Danilov, Vasily Kostumov et al.

2023 · 10 Zit.

Deep learning in medical image analysis: introduction to underlying principles and reviewer guide using diagnostic case studies in paediatrics

Constance Dubois, David Eigen, Emmanuel Delmas et al.

2024 · 8 Zit.

Intelligence artificielle et imagerie médicale : définition, état des lieux et perspectives

Françis Brunelle, P Brunelle

2019 · 8 Zit.

Deep Learning Algorithms to Detect Fractures: Systematic Review Shows Promising Results but Many Limitations

Jérémie F. Cohen, Matthew D. F. McInnes

2022 · 6 Zit.

Laboratory tests for investigating anemia: From an expert system to artificial intelligence

Philippe Halfon, Guillaume Pénaranda, Dan Ringwald et al.

2024 · 5 Zit.