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Article

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

Journal of medical Internet research - 13 Mar 2026

Almaabreh Obada, Al-Dafi Rukaya, Tabassum Aliya, Othman Ahmad, Abd-Alrazaq Alaa

Abstract excerpt

Background: Adult-type gliomas are among the most prevalent and lethal primary central nervous system tumors, where prompt and accurate diagnosis is essential for maximizing survival prospects. Molecular classification, particularly the detection of isocitrate dehydrogenase (IDH) mutations and 1p/19q codeletions, has become crucial for accurate diagnosis and prognosis. Artificial intelligence (AI) has emerged as...

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Identifiers

PMID: 41824546
DOI: 10.2196/78377
PMCID: PMC12986776

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