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

Clinical Information and Decision Making (1915) Machine Learning (2076) Stroke (243) Decision Support for Health Professionals (1539) Artificial Intelligence (2129) Applications of AI (287) Computer-Aided Diagnosis (251)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54121, first published .
Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis

Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis

Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis

Authors of this article:

Haofuzi Zhang1 Author Orcid Image ;   Peng Zou1 Author Orcid Image ;   Peng Luo1 Author Orcid Image ;   Xiaofan Jiang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Gollwitzer M, Mazanec V, Steindl M, Atli B, Stroh-Holly N, Hauser A, Sardi G, Rossmann T, Aspalter S, Rauch P, Horner E, Sonnberger M, Gruber A, Gmeiner M. Early Prediction of Cerebral Vasospasm After Aneurysmal Subarachnoid Hemorrhage Using a Machine Learning Model and Interactive Web Application. Brain Sciences 2025;15(11):1187 View
  2. Wang R, Qian L, Zeng Y, Cai L, He M, Xu J, Zhang Y. A machine learning predictive model for acute kidney injury among aneurysmal subarachnoid hemorrhage patients. BMC Medical Informatics and Decision Making 2025;25(1) View
  3. Palermo M, D’Arrigo S, Olivi A, Sturiale C. Machine learning models for predicting vasospasm following ruptured intracranial aneurysms: a systematic review and meta-analysis. Acta Neurochirurgica 2025;167(1) View