Gommers, Diederik

Incidence of thrombotic complications in critically ill ICU patients with COVID-19

Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D. A. M. P. J., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research

COVID-19 Clinical Research StudiesVenous Thromboembolism Diagnosis and Management

Cited by 5,028

Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis

Klok, F. A., Kruip, M. J. H. A., van der Meer, N. J. M., Arbous, M. S., Gommers, D., Kant, K. M., Kaptein, F. H. J., van Paassen, J., Stals, M. A. M., Huisman, M. V., et al. (2020) · Thrombosis Research

COVID-19 Clinical Research StudiesVenous Thromboembolism Diagnosis and Management

Cited by 1,601

Invasive aspergillosis in patients admitted to the intensive care unit with severe influenza: a retrospective cohort study

Schauwvlieghe, A. F. A. D., Rijnders, B. J. A., Philips, N., Verwijs, R., Vanderbeke, L., Van Tienen, C., Lagrou, K., Verweij, P. E., Van de Veerdonk, F. L., Gommers, D., et al. (2018) · The Lancet Respiratory Medicine

Antifungal resistance and susceptibilityInfluenza Virus Research Studies

Cited by 886

Duration and key determinants of infectious virus shedding in hospitalized patients with coronavirus disease-2019 (COVID-19)

van Kampen, J. J. A., van de Vijver, D. A. M. C., Fraaij, P. L. A., Haagmans, B. L., Lamers, M. M., Okba, N., van den Akker, J. P. C., Endeman, H., Gommers, D. A. M. P. J., Cornelissen, J. J., et al. (2021) · Nature Communications

COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Cited by 838

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit

van de Sande, D., van Genderen, M. E., Huiskens, J., Gommers, D., & van Bommel, J. (2021) · Intensive Care Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 279

Developing, implementing, and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter

van de Sande, D., Van Genderen, M. E., Smit, J. M., Huiskens, J., Visser, J. J., Veen, R. E. R., van Unen, E., BA, O. H., Gommers, D., & Bommel, J. V. (2022) · BMJ Health & Care Informatics

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 135

Intensive Care Unit–Specific Virtual Reality for Critically Ill Patients With COVID-19: Multicenter Randomized Controlled Trial

Vlake, J. H., van Bommel, J., Wils, E.-J., Bienvenu, J., Hellemons, M. E., Korevaar, T. I., Schut, A. F., Labout, J. A., Schreuder, L. L., van Bavel, M. P., et al. (2022) · Journal of Medical Internet Research

Intensive Care Unit Cognitive DisordersCOVID-19 and Mental Health

Cited by 84

Operationalization of Artificial Intelligence Applications in the Intensive Care Unit: A Systematic Review

Berkhout, W. E. M., van Wijngaarden, J. J., Workum, J. D., van de Sande, D., Hilling, D. E., Jung, C., Meyfroidt, G., Gommers, D., Buijsman, S. N. R., & van Genderen, M. E. (2025) · JAMA Network Open

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 75

Virtual Reality to Improve Sequelae of the Postintensive Care Syndrome: A Multicenter, Randomized Controlled Feasibility Study

Vlake, J. H., Van Bommel, J., Wils, E.-J., Korevaar, T. I. M., Bienvenu, O. J., Klijn, E., Gommers, D., & van Genderen, M. E. (2021) · Critical Care Explorations

Intensive Care Unit Cognitive DisordersVirtual Reality Applications and Impacts

Cited by 41

Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare

Workum, J. D., van de Sande, D., Gommers, D., & van Genderen, M. E. (2025) · Frontiers in Artificial Intelligence

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 25

Predicting need for hospital-specific interventional care after surgery using electronic health record data

van de Sande, D., van Genderen, M. E., Verhoef, C., van Bommel, J., Gommers, D., van Unen, E., Huiskens, J., & Grünhagen, D. J. (2021) · Surgery

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 15