Published on in Vol 27 (2025)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/66615, first published
.

Journals
- Li S, Yue R, Lu S, Luo J, Wu X, Zhang Z, Liu M, Fan Y, Zhang Y, Pan C, Huang X, He H. Artificial intelligence and machine learning in acute respiratory distress syndrome management: recent advances. Frontiers in Medicine 2025;12 View
- Abdelbaky A, Elmasry W, Awad A, Khan S. Role of Artificial Intelligence in Critical Care Medicine: A Literature Review. Cureus 2025 View
- Hanafi I, Alsalkini M, Almouhammad A, Salhab G, Khoder Q, Azzam T, Hanafi B, Sallam S, Khamis M, Alnabelsi O, Alzamel L, Afif Z, Jassem M, Alsoudi R, Almousa S. Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study. BMC Infectious Diseases 2025;25(1) View
- Hassine N, Barbaria S, Najah O, Ceylan H, Bilal M, Rebai L, Muntean R, Dergaa I, Boussi Rahmouni H. Early Prediction of Acute Respiratory Distress Syndrome in Critically Ill Polytrauma Patients Using Balanced Random Forest ML: A Retrospective Cohort Study. Journal of Clinical Medicine 2025;14(24):8934 View
- Xu X, Chen H, Wang G, Ding Y. Predictive Value of Machine Learning for Mortality Risk in Acute Pancreatitis. Journal of Clinical Gastroenterology 2025 View
