Emma Kinderziekenhuis

Artificial intelligence

Anna Marielle B. Dy, Daniela Mennickent, E. Castro et al.

2023 · 47 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.

Use of consumer wearables to monitor and predict pain in patients with sickle cell disease

Caroline Vuong, Utkarsh Kumar, Rebecca Stojancic et al.

2023 · 7 Zit.

Generative AI: Potential and Pitfalls in Academic Publishing

Jason A. Silverman, Sabina Ali, Anna Rybak et al.

2023 · 5 Zit.

Generative AI: Potential and Pitfalls in Academic Publishing

Jason A. Silverman, Sabina Ali, Anna Rybak et al.

2023 · 5 Zit.

Data interoperability for a systems approach to developmental conditions

Féline Mollerus, Cecil Lynch, Hilgo Bruining

2025 · 4 Zit.

Development of machine learning models predicting mortality using routinely collected observational health data from 0-59 months old children admitted to an intensive care unit in Bangladesh: critical role of biochemistry and haematology data

Subhasish Das, Lauren Erdman, Daniëlla Brals et al.

2024 · 3 Zit.

All in the Name of Artificial Intelligence: A Commentary on Linardon (2025)

P. C. Burger, Sreejita Ghosh

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.

Machine learning for predicting clinical outcomes of hospitalised children: a systematic review of applications in low- and middle-income countries

William Nkhono, Eva van Lieshout, Job Calis et al.

2026 · 0 Zit.