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

Digital Health Reviews (1807) Artificial Intelligence (2314) Clinical Information and Decision Making (2050) Imaging Informatics (325) Decision Support for Health Professionals (1623) Precision Medicine (183) Cancer Prognosis Models and Machine Learning (77) Computer-Aided Diagnosis (276)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/78377, first published .
The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review

The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review

The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review

Authors of this article:

Obada Almaabreh1 Author Orcid Image ;   Rukaya Al-Dafi1 Author Orcid Image ;   Aliya Tabassum2 Author Orcid Image ;   Ahmad Othman1 Author Orcid Image ;   Alaa Abd-alrazaq3, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Obada Almaabreh   1 , MD ;   Rukaya Al-Dafi   1 , MD ;   Aliya Tabassum   2 , PhD ;   Ahmad Othman   1 , MD ;   Alaa Abd-alrazaq   3, 4 , PhD

1 Faculty of Medicine, Yarmouk University, Irbid, Jordan

2 Department of Computer Science and Engineering, College of Engineering, Qatar University, Doha, Qatar

3 AI Center for Precision Health, Weill Cornell Medical College in Qatar, Doha, Qatar

4 Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar

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