Erasmus MC - Sophia Children’s Hospital

The unintended consequences of artificial intelligence in paediatric radiology

Pierluigi Ciet, Christine Eade, Mai‐Lan Ho et al.

2023 · 30 Zit.

ChatGPT in pharmacometrics? Potential opportunities and limitations

Michael E. Cloesmeijer, Alexander Janßen, Sjoerd F. Koopman et al.

2023 · 29 Zit.

From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit

J. Schouten, Melissa A. C. M. Kalden, Eris van Twist et al.

2024 · 25 Zit.

Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support

Lebohang Radebe, Daniëlle C M van der Kaay, Jonathan D. Wasserman et al.

2021 · 16 Zit.

Creating a training set for artificial intelligence from initial segmentations of airways

Ivan Dudurych, Antonio Garcia-Uceda, Zaigham Saghir et al.

2021 · 9 Zit.

AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, Brendan S. Kelly et al.

2025 · 8 Zit.

A living scoping review and online repository of artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative

Adree Khondker, Jethro C.C. Kwong, Ihtisham Ahmad et al.

2025 · 8 Zit.

European Society of Paediatric Radiology Artificial Intelligence taskforce: a new taskforce for the digital age

Lene Bjerke Laborie, Jaishree Naidoo, Erika Pace et al.

2022 · 6 Zit.

The 2025 update on artificial intelligence models in pediatric urology: Results from the AI-PEDURO collaborative

Adree Khondker, Ihtisham Ahmad, Rahim Dhalla et al.

2025 · 4 Zit.

Artificial Intelligence Implementation in Pediatric Radiology for Patient Safety: A Multisociety Statement From the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, Brendan S. Kelly et al.

2025 · 1 Zit.

Risks and benefits of ChatGPT in informing patients and families with rare kidney diseases: an explorative assessment by the European Rare Kidney Disease Reference Network (ERKNet)

Albertien M. van Eerde, Ana Teixeira, Flavia Galletti et al.

2025 · 1 Zit.

Correction: AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN

Susan C. Shelmerdine, Jaishree Naidoo, B E Kelly et al.

2026 · 0 Zit.

B78-03 AI-Based Quantitative CT Can Characterize Structural Heterogeneity in Pi*ZZ Alpha-1 Antitrypsin Deficiency

T Van Der Veer, C Timmer, J van der Heijden et al.

2026 · 0 Zit.

Artificial Intelligence Competencies and Educational Needs Among ERNICA Members: Results of a Multinational Survey

Holger Till, Hesham Elsayed, Beate Obermüller et al.

2026 · 0 Zit.

Reporting of race and ethnicity in studies of artificial intelligence in pediatric urology

Hyunwoong Harry Chae, David-Dan Nguyen, Adree Khondker et al.

2026 · 0 Zit.