This paper is in the following e-collection/theme issue:

Artificial Intelligence (2129) Machine Learning (2076) Respiratory Medicine (157) Clinical Information and Decision Making (1915)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66615, first published .
Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Authors of this article:

Jinxi Yang1 Author Orcid Image ;   Siyao Zeng1 Author Orcid Image ;   Shanpeng Cui1 Author Orcid Image ;   Junbo Zheng2 Author Orcid Image ;   Hongliang Wang2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. 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
  2. Abdelbaky A, Elmasry W, Awad A, Khan S. Role of Artificial Intelligence in Critical Care Medicine: A Literature Review. Cureus 2025 View
  3. 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