Ercole, Ari

Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research

Maas, A. I. R., Menon, D. K., Adelson, P. D., Andelic, N., Bell, M. J., Belli, A., Bragge, P., Brazinova, A., Büki, A., Chesnut, R. M., et al. (2017) · The Lancet Neurology

Traumatic Brain Injury ResearchTraumatic Brain Injury and Neurovascular Disturbances

Cited by 2,609

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Fleuren, L. M., Klausch, T. L. T., Zwager, C. L., Schoonmade, L. J., Guo, T., Roggeveen, L. F., Swart, E. L., Girbes, A. R. J., Thoral, P., Ercole, A., et al. (2020) · Intensive Care Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 755

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example*

Thoral, P. J., Peppink, J. M., Driessen, R. H., Sijbrands, E. J. G., Kompanje, E. J. O., Kaplan, L., Bailey, H., Kesecioglu, J., Cecconi, M., Churpek, M., et al. (2021) · Critical Care Medicine

Privacy-Preserving Technologies in DataElectronic Health Records Systems

Cited by 257

Steps to avoid overuse and misuse of machine learning in clinical research

Volovici, V., Syn, N. L., Ercole, A., Zhao, J. J., & Liu, N. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 110

Machine learning in intensive care medicine: ready for take-off?

Collaborators, R. D. R. N., Fleuren, L. M., Thoral, P., Shillan, D., Ercole, A., & Elbers, P. W. G. (2020) · Intensive Care Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 88

Implementing Artificial Intelligence in Critical Care Medicine: a consensus of 22.

Cecconi, M., Greco, M., Shickel, B., Angus, D. C., Bailey, H., Bignami, E., Calandra, T., Celi, L. A., Einav, S., Elbers, P., et al. (2025) · Critical Care

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 80

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Deasy, J., Liò, P., & Ercole, A. (2020) · Scientific Reports

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 52

Forecasting Ultra-early Intensive Care Strain from COVID-19 in England, v1.1.4

Deasy, J., Rocheteau, E., Kohler, K., Stubbs, D. J., Barbiero, P., Liò, P., & Ercole, A. (2020) · medRxiv

COVID-19 epidemiological studiesCOVID-19 and healthcare impacts

Cited by 17