Public Health Service of Amsterdam

The performance of <scp>ChatGPT</scp> in generating answers to clinical questions in psychiatry: a two‐layer assessment

Jurjen J. Luykx, Frank L. Gerritse, Philippe C. Habets et al.

2023 · 37 Zit.

Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel

Kathrin Cresswell, Nicolette F. de Keizer, Farah Magrabi et al.

2024 · 14 Zit.

Prognostic models of in-hospital mortality of intensive care patients using neural representation of unstructured text: A systematic review and critical appraisal

Iacopo Vagliano, Noman Dormosh, Miguel Rios et al.

2023 · 14 Zit.

When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes

Roemer J. Janse, Ameen Abu Hanna, Iacopo Vagliano et al.

2025 · 7 Zit.

Patient perspectives on AI-based decision support in surgery

Sara Ben Hmido, Houssam Abder Rahim, Corrette Ploem et al.

2025 · 5 Zit.

Incorporating longitudinal variability in prediction models: A comparison of machine learning and logistic regression in a cohort study with long follow-up

L.M. de Groot, Jos W. R. Twisk, Almar A. L. Kok et al.

2025 · 5 Zit.

Bridging the gap: exposing the hidden challenges towards adoption of artificial intelligence in surgery

Ana Manzano Rodriguez, Cees G. M. Snoek, Marlies P. Schijven

2025 · 1 Zit.

Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study

Marloes E. Derksen, Max van Beek, Tamara de Bruijn et al.

2025 · 1 Zit.

Artificial Intelligence Based Mobile Health Applications for Patients with Abdominal Aortic Aneurysms and Peripheral Arterial Disease: Patients’ and Healthcare Workers’ Attitudes

Sabrina L M Zwetsloot, Lotte Rijken, Ivan Tomić et al.

2025 · 0 Zit.

The development of a data dictionary with clinical variables for artificial intelligence-driven tools in research on abdominal aortic aneurysms and peripheral arterial disease

Lotte Rijken, Sabrina L M Zwetsloot, Catelijne Muller et al.

2025 · 0 Zit.

Understanding Clinicians’ Informational Needs for AI-Driven Clinical Decision Support Systems: Qualitative Interview Study

Simone Mingels, Hannah Piehl, Madeline Simone Therrien et al.

2026 · 0 Zit.