Profile photo Maarten van Smeden

Maarten van Smeden

Associate Professor

Strategic program(s):

Biography

Maarten van Smeden is a medical statistician, associate professor of epidemiologic methods and head of the research program methodology at the Julius Center for Health Sciences and Primary Care, UMC Utrecht, the Netherlands. His research is focused on the development and evaluation of statistical and data science methodology, with a particular focus on methodology related to the development, validation and implementation of prediction models. 

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

Preliminary appraisal of machine learning–based prediction models Alex Carriero, Anne A.H. de Hond, Karel G.M. Moons, Maarten van Smeden
Journal of Clinical Epidemiology, 2026, vol. 194
Five tenets for advancing evidence-based precision medicine Daniel E. Coral, Jennifer L. Sargent, Julia Carrasco-Zanini, Luis M. Coral, Aaron J. Deutsch, Miriam S. Udler, Giuseppe N. Giordano, Guillaume Pare, Ewan R. Pearson, Maarten van Smeden, Paul W. Franks
Nature medicine, 2026, vol. 32, p.1211-1222
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
Prediction models developed using artificial intelligence Maerziya Yusufujiang, Constanza L Andaur Navarro, Johanna Aa Damen, Toshihiko Takada, Geert-Jan Geersing, Lotty Hooft, Ewoud Schuit, Karel Gm Moons, Valentijn Mt de Jong, Maarten van Smeden
Diagnostic and Prognostic Research, 2026, vol. 10
TRIPOD+AI statement Gary S Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair K Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, André Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal A Mateen, Melissa D McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep Singh, Laure Wynants, Patricia Logullo
Ewha medical journal, 2025, vol. 48
Evaluation of performance measures in predictive artificial intelligence models to support medical decisions Ben Van Calster, Gary S. Collins, Andrew J. Vickers, Laure Wynants, Kathleen F. Kerr, Lasai Barreñada, Gael Varoquaux, Karandeep Singh, Karel Gm Moons, Tina Hernandez-Boussard, Dirk Timmerman, David J. McLernon, Maarten van Smeden, Ewout W. Steyerberg,
The Lancet. Digital health, 2025, vol. 7