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Theme Issue 2024: 25 Years of Digital Health Excellence (56) Clinical Information and Decision Making (2149) Decision Support for Health Professionals (1692) Machine Learning (2306) Stroke (277) Artificial Intelligence (2458) Medical imaging (144) Advancements in Neuroimaging (19)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59711, first published .
Medical team reviews brain scans with "25 Years" badge

A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review

A 25-Year Retrospective of the Use of AI for Diagnosing Acute Stroke: Systematic Review

Authors of this article:

Zhaoxin Wang1 Author Orcid Image ;   Wenwen Yang1 Author Orcid Image ;   Zhengyu Li1 Author Orcid Image ;   Ze Rong1 Author Orcid Image ;   Xing Wang1 Author Orcid Image ;   Jincong Han1 Author Orcid Image ;   Lei Ma1 Author Orcid Image
Article Authors Cited by (12) Tweetations Metrics

Journals

  1. Sumarno Adi Subrata . The Role of Artificial Intelligence in Chronic Illness Care: Navigating Challenges in Clinical Nursing Practice. Pacific Rim International Journal of Nursing Research 2025;29(2):213 View
  2. Peng Y, Zhao Z, Rao Y, Sun K, Zou J, Liu G. The application of artificial intelligence in stroke research: A bibliometric analysis. DIGITAL HEALTH 2025;11 View
  3. Williamson J, Peng R, Sung J, Rajabtabar Darvish M, Chen X, Ali M, Li S, Yang Y. Neuroengineering approaches assessing structural and functional changes of motor descending pathways in stroke. Progress in Biomedical Engineering 2025;7(4):042006 View
  4. Kazieva M, Stulov I, Basek I, Medvedeva N, Kurapeev D. Utilization of an integrated artificial intelligence system in the diagnosis of acute ischemic strokes and intracranial hemorrhages: a retrospective study. Diagnostic radiology and radiotherapy 2025;16(3):37 View
  5. Zhang X, Xu Z, Li L, Deng H, Zhou Q, Liu J, Liu H. Serum iron as a biomarker for “penumbra freezing” in patients with acute ischemic stroke. Frontiers in Neuroscience 2026;19 View
  6. Sorkin G, Caffes N, Shank J, Hershey J, Knaub D, Krebs J, Niazi M. Current State of the Clinical Applications of Artificial Intelligence in Stroke: A Literature Review. Brain Sciences 2026;16(2):173 View
  7. 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
  8. Li S, Chong B, Mehri-Kakavand G, Shi C, Taylor D, Fowler A, Billinghurst M, Harvey M, Wang A. Augmented Reality and Artificial Intelligence for the Assessment and Rehabilitation of Spatial Neglect: A Systematic Review. Neurorehabilitation and Neural Repair 2026 View
  9. Chen H, Gui Q, Ji K, Ye M, Zhao J, Kong Y, Wu G, Tan X. Development and validation of machine learning models for predicting functional outcome after low-dose alteplase in the extended time window for acute ischemic stroke. Frontiers in Neuroscience 2026;20 View
  10. Camille-Albane P, DELTOUR S, Baudrillart R, JEAN-ELIE A, ELBAZE S, Jean-Baptiste B, Mastilovic M, HADDAD Z, EDJLALI M. Automated Detection of Acute Ischemic Stroke on Diffusion MRI in Patients With Suspected Stroke and Stroke Mimics: A Real-World Deep Learning Study. Neuroscience Informatics 2026:100279 View

Books/Policy Documents

  1. PATIL R, SHEIKH F. AI‐driven Healthcare Innovations. View

Conference Proceedings

  1. R G, K N, M P, J P. 2025 International Conference on Intelligent Computing, Information and Control Systems (ICOIICS). A Predictive Framework for Stroke Diagnosis Leveraging Neuroimaging and Deep Learning View