Predicting benefit from adjuvant therapy with corticosteroids in community-acquired pneumonia: a data-driven analysis of randomised trials

Authors: Smit, Jim M ^{a, e, *}, Van Der Zee, Philip A ^{a, b}, Stoof, Sara C M ^a, Van Genderen, Michel E ^a, Snijders, Dominic ^f, Boersma, Wim G ^g, Confalonieri, Paola ^h, Salton, Francesco ^h, Confalonieri, Marco ^h, Shih, Mei-Chiung ⁱ, Meduri, Gianfranco U ^j, Dequin, Pierre-François ^k, Le Gouge, Amélie ^l, Lloyd, Melanie ^m, Karunajeewa, Harin ⁿ, Bartminski, Grzegorz ⁿ, Fernández-Serrano, Silvia ^o, Suárez-Cuartín, Guillermo ^p, van Klaveren, David ^{c, q}, Briel, Matthias ^{r, s}, Schönenberger, Christof M ^r, Steyerberg, Ewout W ^t, Gommers, Diederik A M P J ^a, Bax, Hannelore I ^d, Bos, Wilem Jan W ^{u, v}, van de Garde, Ewoudt M W ^x, Wittermans, Esther ^v, Grutters, Jan C ^w, Blum, Claudine A ^{y, z}, Christ-Crain, Mirjam ^z, Torres, Antoni ^aa, Motos, Ana ^{ab, ac}, Reinders, Marcel J T ^e, Van Bommel, Jasper ^a, Krijthe, Jesse H ^e, Endeman, Henrik ^a

Source: In The Lancet Respiratory Medicine March 2025 13(3):221-233

Cognitive and psychological recovery patterns across different care pathways 12 months after hospitalization for COVID-19: A multicenter cohort study (CO-FLOW)

Authors: Bek, L Martine, Hellemons, Merel E, Berentschot, Julia C, Visser, Marieke M, Huijts, Susanne M, van Bommel, Jasper, van Genderen, Michel E, Aerts, Joachim GJV, Ribbers, Gerard M, van den Berg-Emons, Rita JG, Heijenbrok-Kal, Majanka H

Source: In Annals of Physical and Rehabilitation Medicine June 2023 66(5)

Physical recovery across care pathways up to 12 months after hospitalization for COVID-19: A multicenter prospective cohort study (CO-FLOW)

Authors: Aerts, Joachim G.J.V., Bek, L. Martine, Berentschot, Julia C., van den Berg-Emons, Rita J.G., Bindraban, Sieshem, Blox, Wouter J.B., van Bommel, Jasper, Gajadin, Shai A., van Genderen, Michel E., Gommers, Diederik A.M.P.J., Heijenbrok-Kal, Majanka H., Hellemons, Merel E., Heller, Roxane, Huijts, Susanne M., Ista, Erwin, van Loon-Kooij, Stephanie, Osterthun, Rutger, Oswald, Laurien, Ribbers, Gerard M., van Rossem, Ronald N., van de Sande, Herbert J., Slingerland, Rob, van der Stoep, Robert, Tazmi-Staal, Janette J., Visser, Marieke M., Wijffels, Markus P.J.M., Willems, Eva G.

Source: In The Lancet Regional Health - Europe November 2022 22

Optimizing discharge after major surgery using an artificial intelligence–based decision support tool (DESIRE): An external validation study

Authors: van de Sande, Davy, van Genderen, Michel E., Verhoef, Cornelis, Huiskens, Joost, Gommers, Diederik, van Unen, Edwin, Schasfoort, Renske A., Schepers, Judith, van Bommel, Jasper, Grünhagen, Dirk J.

Source: Surgery. 172(2):663-669

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100167344666.0x000001&indx=1&recIds=ETOCvdc_100167344666.0x000001

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

Authors: Workum, Jessica D., van de Sande, Davy, Gommers, Diederik, van Genderen, Michel E.

Source: Frontiers in Artificial Intelligence; 2025, p1-8, 8p

Comparative evaluation and performance of large language models on expert level critical care questions: a benchmark study.

Authors: Workum, Jessica D., Volkers, Bas W. S., van de Sande, Davy, Arora, Sumesh, Goeijenbier, Marco, Gommers, Diederik, van Genderen, Michel E.

Source: Critical Care; 2/10/2025, Vol. 29 Issue 1, p1-8, 8p

Effect of an intensive care unit virtual reality intervention on relatives´ mental health distress: a multicenter, randomized controlled trial.

Authors: Drop, Denzel L. Q., Vlake, Johan H., Wils, Evert-Jan, Van Bommel, Jasper, Jung, Christian, Hilling, Denise E., Bienvenu, O. Joseph, Korevaar, Tim I. M., Schut, Anna F. C., van Mol, Margo M. C., Gommers, Diederik, van Genderen, Michel E.

Source: Critical Care; 2/5/2025, Vol. 29 Issue 1, p1-12, 12p

What if we do, but what if we don't? The opportunity cost of artificial intelligence hesitancy in the intensive care unit.

Authors: Spencer, Emma-Jane, Economou-Zavlanos, Nicoleta J., van Genderen, Michel E.

Source: Intensive Care Medicine; Feb2025, Vol. 51 Issue 2, p378-381, 4p

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

Authors: van de Sande, Davy, van Genderen, Michel E., Verhoef, C., van Bommel, Jasper, Gommers, Diederik, van Unen, Edwin, Huiskens, Joost, Grünhagen, D.J.

Source: In Surgery September 2021 170(3):790-796

Long-term health outcomes of COVID-19 in ICU- and non-ICU-treated patients up to 2 years after hospitalization: a longitudinal cohort study (CO-FLOW).

Authors: Berentschot, J. C., Bek, L. M., Heijenbrok-Kal, M. H., van Bommel, J., Ribbers, G. M., Aerts, J. G. J. V., Hellemons, M. E., van den Berg-Emons, H. J. G., Aerts, Joachim G. J. V., Bek, L. Martine, Berentschot, Julia C., van den Berg-Emons, Rita J. G., Bindraban, Sieshem, Blox, Wouter J. B., van Bommel, Jasper, Gajadin, Shai A., van Genderen, Michel E., Gommers, Diederik A. M. P. J., Heijenbrok-Kal, Majanka H., Hellemons, Merel E.

Source: Journal of Intensive Care; 11/8/2024, Vol. 12 Issue 1, p1-19, 19p

Subject Terms: POST-acute COVID-19 syndrome, SLEEP quality, INTENSIVE care units, QUALITY of life, COVID-19 treatment

From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.

Authors: Schouten, Janno S., Kalden, Melissa A. C. M., van Twist, Eris, Reiss, Irwin K. M., Gommers, Diederik A. M. P. J., van Genderen, Michel E., Taal, H. Rob

Source: Intensive Care Medicine; Nov2024, Vol. 50 Issue 11, p1767-1777, 11p

Subject Terms: NEONATAL intensive care units, CLINICAL decision support systems, PEDIATRIC intensive care, TECHNOLOGY assessment, CRITICALLY ill patient care

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Utility of the cold pressor test to predict future cardiovascular events

Authors: Pouwels, Sjaak, Van Genderen, Michel E., Kreeftenberg, Herman G., Ribeiro, Rui, Parmar, Chetan, Topal, Besir, Celik, Alper, Ugale, Surendra

Source: Expert review of cardiovascular therapy. 17(4):305-318

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100103011314.0x000001&indx=1&recIds=ETOCvdc_100103011314.0x000001

Federated data access and federated learning: improved data sharing, AI model development, and learning in intensive care.

Authors: van Genderen, Michel E.¹ (AUTHOR) m.vangenderen@erasmusmc.nl, Cecconi, Maurizio^2,3 (AUTHOR), Jung, Christian^4,5 (AUTHOR)

Source: Intensive Care Medicine. Jun2024, Vol. 50 Issue 6, p974-977. 4p.

Subject Terms: *FEDERATED learning, *INFORMATION sharing, *ARTIFICIAL intelligence, *CRITICAL care medicine, *INFORMATION technology

Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency.

Authors: van Genderen, Michel E., van de Sande, Davy, Hooft, Lotty, Reis, Andreas Alois, Cornet, Alexander D., Oosterhoff, Jacobien H. F., van der Ster, Björn J. P., Huiskens, Joost, Townsend, Reggie, van Bommel, Jasper, Gommers, Diederik, van den Hoven, Jeroen

Source: NPJ Digital Medicine; 5/8/2024, Vol. 7 Issue 1, p1-4, 4p

Subject Terms: COMPUTER-aided design, ARTIFICIAL intelligence, DECISION making in clinical medicine, RECORDING & registration, TRUST, HEALTH care industry, DATA quality, WELL-being

Extended reality in critically ill patients: not yet ready for take-off!

Authors: Drop, Denzel L. Q., Jung, Christian, Gommers, Diederik, van Genderen, Michel E.

Source: Intensive Care Medicine; Aug2024, Vol. 50 Issue 8, p1365-1367, 3p

Subject Terms: TECHNOLOGY assessment, INTENSIVE care units, ARTIFICIAL intelligence, VIRTUAL reality, CRITICALLY ill

Patients' evaluation of aftercare following hospitalization for COVID-19: satisfaction and unmet needs.

Authors: Berentschot, Julia C., de Ridder, Willemijn A., Bek, L. Martine, Heijenbrok-Kal, Majanka H., Braunstahl, Gert-Jan, Remerie, Sylvia C., Stuip, Yvonne, Ribbers, Gerard M., Aerts, Joachim G. J. V., Ista, Erwin, Hellemons, Merel E., van den Berg-Emons, Rita J. G., Bindraban, Sieshem, Blox, Wouter J. B., van Bommel, Jasper, Gajadin, Shai A., van Genderen, Michel E., Gommers, Diederik A. M. P. J., van Loon-Kooij, Stephanie, Osterthun, Rutger

Source: Respiratory Research; 3/29/2024, Vol. 25 Issue 1, p1-13, 13p

Subject Terms: PATIENT aftercare, PULMONOLOGISTS, SATISFACTION, HOSPITAL admission & discharge, COVID-19, BURN patients

To warrant clinical adoption AI models require a multi-faceted implementation evaluation.

Authors: van de Sande, Davy, Chung, Eline Fung Fen, Oosterhoff, Jacobien, van Bommel, Jasper, Gommers, Diederik, van Genderen, Michel E.

Source: NPJ Digital Medicine; 3/6/2024, Vol. 7 Issue 1, p1-5, 5p

Subject Terms: ARTIFICIAL intelligence tests, MEDICAL protocols, HEALTH services accessibility, DIFFUSION of innovations, CLINICAL decision support systems, EVALUATION of medical care, MATHEMATICAL models, THEORY, QUALITY assurance, INTEGRATED health care delivery

Return to work and health-related quality of life up to 1 year in patients hospitalized for COVID-19: the CO-FLOW study.

Authors: Bek, L. M., Berentschot, J. C., Hellemons, M. E., Remerie, S. C., van Bommel, J., Aerts, J. G. J. V., Ribbers, G. M., van den Berg-Emons, H. J. G., Heijenbrok-Kal, M. H., on behalf of the CO-FLOW collaboration group, van Genderen, Michel E., Gommers, Diederik A. M. P. J., Ista, Erwin, van der Stoep, Robert, Osterthun, Rutger, Wijffels, Markus P. J. M., Visser, Marieke M., Tazmi-Staal, Janette J., Willems, Eva G., Heller, Roxane

Source: BMC Medicine; 10/2/2023, Vol. 21 Issue 1, p1-12, 12p

Subject Terms: QUALITY of work life, QUALITY of life, COVID-19, GENERALIZED estimating equations, HOSPITAL admission & discharge

Company/Entity: WORLD Health Organization

Patients suffering from psychological impairments following critical illness are in need of information

Authors: Vlake, Johan H., van Genderen, Michel E., Schut, Anna, Verkade, Martijn, Wils, Evert-Jan, Gommers, Diederik, van Bommel, Jasper

Source: Journal of intensive care. 8(1)

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100130514738.0x000001&indx=1&recIds=ETOCvdc_100130514738.0x000001