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

Infodemiology and Infoveillance (1588) Machine Learning (2199) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (101) Digital Health Reviews (1801)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71654, first published .
Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Authors of this article:

Benqiao Wang1 Author Orcid Image ;   Bohao Jiang2 Author Orcid Image ;   Dan Liu1 Author Orcid Image ;   Ruixia Zhu1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Zhao S, Zhu C, Guo Y, Ma S, Jiao C, Sui L, Hou R, Zhu X. Association between estimation of pulse wave velocity and all-cause mortality in critically ill patients with ischemic stroke: a retrospective cohort study and predictive model establishment based on machine learning. BMC Neurology 2025;25(1) View
  2. Shui H, Wu W, Xie Z, Yang B, Deng J, Tang D. Effectiveness of Machine Learning in Detecting Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2026;28:e82839 View
  3. Zhang K, Chen R, Yang J, Yan Y, Liu L, Meng C, Li P, Xing G, Liu X. Machine Learning Models for Mortality Prediction in Intensive Care Unit Patients With Ischemic Stroke Associated With Intracranial Artery Stenosis: Retrospective Cohort Study. JMIR Cardio 2026;10:e82042 View