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

Artificial Intelligence (2129) Reviews (133) Machine Learning (2076) Decision Support for Health Professionals (1539) Digital Health Reviews (1724) Applications of AI (287) Neurology and Neurosciences (286) Computer-Aided Diagnosis (251) New Diagnostic Tools and Instruments for Pediatrics (48)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55986, first published .
Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis

Authors of this article:

Zhuan Zou1, 2 Author Orcid Image ;   Bin Chen1, 2 Author Orcid Image ;   Dongqiong Xiao1, 2 Author Orcid Image ;   Fajuan Tang1, 2 Author Orcid Image ;   Xihong Li1, 2 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Bai L, Litscher G, Li X. Epileptic Seizure Detection Using Machine Learning: A Systematic Review and Meta-Analysis. Brain Sciences 2025;15(6):634 View
  2. Nariai H. Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future. Epilepsia Open 2025 View
  3. Bangash A, Bercu M, Byrne R, Pavuluri S, Salehi A. Application of machine learning approaches to predict seizure-onset zones in patients with drug-resistant epilepsy: a systematic review. Frontiers in Neurology 2025;16 View