Profile photo Wouter van Amsterdam

Wouter van Amsterdam

Assistant Professor

Strategic program(s):

Research groups

Methods for AI and data science

Research aim

To develop and validate methods for data science, AI, statistics and causal inference and to improve medical research and patient care through impactful applications and collaborations.

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Recent publications

Predicting deep venous thrombosis and pulmonary embolism in community patients with superficial venous thrombosis Florien S van Royen, Maarten van Smeden, Sander van Doorn, Patrick Souverein, Wouter A C van Amsterdam, Frans H Rutten, James P Sheppard, Geert-Jan Geersing
Journal of thrombosis and haemostasis : JTH, 2026, vol. 24, p.3637-3646
Individualized Treatment Effects of Therapeutic Hypothermia in Children Postcardiac Arrest Daniel R Balcarcel, Garrett P Keim, Sanjiv D Mehta, Michael O Harhay, Blanca E Himes, Wouter A C van Amsterdam, Frank Moler, Matthew P Kirschen, Alexis A Topjian, Nadir Yehya
Pediatric Critical Care Medicine, 2026, vol. 27, p.1148-1158
Small Pulmonary Artery and Vein Volumes Independently Predict Oxygen Desaturation in Smokers Anastasia K.A.L. Kwee, Wouter A.C. van Amsterdam, Firdaus A.A. Mohamed Hoesein, Leticia Gallardo-Estrella, Jean-Paul Charbonnier, Stephen M. Humphries, Harm A. W. M. Tiddens, James D. Crapo, Richard Casaburi, Pim A. de Jong, David A Lynch, Esther Pompe
Chronic Obstructive Pulmonary Diseases, 2026, vol. 13, p.237-248
Clinical trials for continuously monitored and updated AI systems Wouter A.C. van Amsterdam, Michael Oberst, Jean Feng, Jenna Wiens, Shengpu Tang, Shalmali Joshi, Rajesh Ranganath, Mark Sendak, Uri Shalit, Julia E. Vogt, Brett Beaulieu-Jones, Muhammad Mamdani, David Kent, Patrick J. Heagerty, Thomas R. Fleming, Anna Goldenberg
Nature medicine, 2026, vol. 32, p.1972-1974
Missing confounding information in counterfactual prediction models Jungyeon Choi, Artuur M Leeuwenberg, Lotta M Meijerink, Karel G M Moons, Johannes J B Reitsma, Bas B L Penning de Vries, Wouter A C van Amsterdam, Judith G M van Loon, Remi A Nout, Johannes A Langendijk, Liesbeth J Boersma, Ewoud Schuit
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2026, vol. 220
Signal or noise? Evaluating commonly used attribution methods for explaining deep neural networks in electrocardiogram classification Bauke K.O. Arends, Wouter A.C. van Amsterdam, Pim van der Harst, Maarten van Smeden, René van Es, Rutger R. van de Leur
European Heart Journal - Digital Health, 2026, vol. 7