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

Digital Health Reviews (1762) Artificial Intelligence (2206) Imaging Informatics (310) Machine Learning (2138) Computer-Aided Diagnosis (263) Clinical Information and Decision Making (1966) Stroke (253) Cardiac Diagnostics (32)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/77092, first published .
Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Authors of this article:

Lingjie Ju1 Author Orcid Image ;   Yongsheng Guo1 Author Orcid Image ;   Haiyong Guo2 Author Orcid Image ;   Ruijuan Liu1 Author Orcid Image ;   Yiyang Wang3 Author Orcid Image ;   Siyu Wang3 Author Orcid Image ;   Na Ma3 Author Orcid Image ;   Junhong Ren1 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Lingjie Ju   1 * , MM ;   Yongsheng Guo   1 * , MM ;   Haiyong Guo   2 , MM ;   Ruijuan Liu   1 , MM ;   Yiyang Wang   3 , MM ;   Siyu Wang   3 , MD ;   Na Ma   3 , MD ;   Junhong Ren   1 , MM

1 Department of Sonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

2 Department of Sonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Peking University Health Science Center, Beijing, China

3 Department of Sonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Junhong Ren, MM
  • Department of Sonography, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine
  • Chinese Academy of Medical Sciences & Peking Union Medical College
  • 1 Dahua Road, Dongdan, Dongcheng District
  • Beijing 100730
  • China
  • Phone: 86 13910813603
  • Email: rjh13910813603@163.com