Hôpital Necker-Enfants Malades

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.

2021 · 241 Zit.

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

Viknesh Sounderajah, Ahmad Guni, Xiaoxuan Liu et al.

2025 · 86 Zit.

Dynamic prediction of renal survival among deeply phenotyped kidney transplant recipients using artificial intelligence: an observational, international, multicohort study

Marc Raynaud, Olivier Aubert, Gillian Divard et al.

2021 · 63 Zit.

Definitions and Characteristics of Patient Digital Twins Being Developed for Clinical Use: Scoping Review

David Drummond, Apolline Gonsard

2024 · 43 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 · 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.

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.

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 · 27 Zit.

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

David Drummond

2021 · 24 Zit.

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

Jérémie F. Cohen, Patrick M. Bossuyt

2024 · 21 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.

Artificial intelligence in respiratory care: perspectives on critical opportunities and challenges

David Drummond, Ireti Adejumo, Kjeld Hansen et al.

2024 · 12 Zit.

Artificial Intelligence Technologies in the Microsurgical Operating Room (Review)

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

2023 · 12 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 · 10 Zit.

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

Françis Brunelle, P Brunelle

2019 · 8 Zit.