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

Reviews in Medical Informatics (104) Computer-Aided Diagnosis (215) Machine Learning (1931) Tools, Programs and Algorithms (351) Digital Health Reviews (1636) Clinical Information and Decision Making (1786) Decision Support for Health Professionals (1448)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57026, first published .
Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review

Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review

Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review

Authors of this article:

Jinbo Zhang1, 2 Author Orcid Image ;   Pingping Yang1, 2 Author Orcid Image ;   Lu Zeng1, 2 Author Orcid Image ;   Shan Li1, 2 Author Orcid Image ;   Jiamei Zhou1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. El Arab R, Almoosa Z, Alkhunaizi M, Abuadas F, Somerville J. Artificial intelligence in hospital infection prevention: an integrative review. Frontiers in Public Health 2025;13 View
  2. M’hamdi Z, Lazaar M, Mahboub O. Leveraging pretrained embeddings and self-attention based convolutional neural networks for early prediction of ventilator-associated pneumonia from clinical notes. Engineering Applications of Artificial Intelligence 2025;154:110827 View
  3. Alnajjar I, Alshakarnah B, AbuShaikha T, Jarrar T, Ozrail A, Asbeh Y. Assessing artificial intelligence ability in predicting hospitalization duration for pleural empyema patients managed with uniportal video-assisted thoracoscopic surgery: a retrospective observational study. BMC Surgery 2025;25(1) View