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Journal of Medical Internet Research|April 7, 2026
Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation StudyBuelent Uendes, Alex Antonides, Sjors van de Ven, et al.Computers in Biology and Medicine|July 9, 2016
Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical recordsReinier Kop, Mark Hoogendoorn, Annette Ten Teije, et al.Frontiers in Artificial Intelligence|June 15, 2026
Which explainable AI methods in medical imaging are clinically impactful? A systematic literature review addressing the clinician's perspectiveShahab Ud Din, Ruby Kemna, Johannes C F Ket, et al.Intensive Care Medicine Experimental|March 25, 2024
Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluationLuca F Roggeveen, Ali El Hassouni, Harm-Jan de Grooth, et al.Pediatrics|June 7, 2022
Machine Learning Prediction Models for Neurodevelopmental Outcome After Preterm Birth: A Scoping Review and New Machine Learning Evaluation FrameworkMenne R van Boven, Celina E Henke, Aleid G Leemhuis, et al.Artificial Intelligence in Medicine|February 14, 2021
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsisLuca Roggeveen, Ali El Hassouni, Jonas Ahrendt, et al.Journal of Clinical Medicine|February 15, 2020
Using the Personalized Advantage Index for Individual Treatment Allocation to Blended Treatment or Treatment as Usual for Depression in Secondary CareNadine Friedl, Tobias Krieger, Karine Chevreul, et al.Journal of Intensive Medicine|February 25, 2026
Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?Ameet Jagesar, Louk Smalbil, Etienne Galea, et al.Journal of Intensive Care Medicine|February 6, 2023
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning AnalysisSander Siepel, Tariq A Dam, Lucas M Fleuren, et al.IEEE Journal of Biomedical and Health Informatics|April 10, 2025
The Value of Oxygenation Vital Signs in Machine Learning Prediction of Neurodevelopmental Outcomes in Preterm InfantsMenne van Boven, Frank Bennis, Wes Onland, et al.Pageof 6