Hôpital Armand-Trousseau

Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review

Ferdinand Dhombres, Jules Bonnard, Kévin Bailly et al.

2022 · 82 Zit.

Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning

Daichi Hayashi, Andrew J. Kompel, Jeanne Ventre et al.

2022 · 63 Zit.

Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists

Toan Nguyen, Richard Maarek, Anne-Laure Hermann et al.

2022 · 61 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.

High performance for bone age estimation with an artificial intelligence solution

Toan Nguyen, Anne-Laure Hermann, Jeanne Ventre et al.

2023 · 19 Zit.

‘Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists’: reply to Sammer et al.

Toan Nguyen, Richard Maarek, Anne-Laure Hermann et al.

2022 · 6 Zit.

Objectives for algorithmic decision-making systems in childhood asthma: Perspectives of children, parents, and physicians

Omar Masrour, Johan Personnic, Flore Amat et al.

2024 · 3 Zit.

Toward automatic bone breach detection for spine surgery using tissue bio-electrical conductivity sensing

Elie Saghbiny, Jimmy Da Silva, Célia Chaimi et al.

2022 · 1 Zit.

Artificial intelligence chatbots vs. YPUC pediatric urologists: performance on a Campbell Walsh urology hypospadiology questionnaire

Sébastien Faraj, Pauline Clermidi, Sabine Irtan et al.

2025 · 0 Zit.

Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review (Preprint)

Ferdinand Dhombres, Jules Bonnard, Kévin Bailly et al.

2021 · 0 Zit.

VP34.18: Managing expectations in the use of artificial intelligence for diagnosis support in maternal and fetal imaging: a scoping review

Ferdinand Dhombres, P. Maurice, L. Franchinard et al.

2020 · 0 Zit.