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

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

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DOI: 10.2196/78377
Published: 2026-03-13
Container: Journal of Medical Internet Research
Publisher: JMIR Publications Inc.
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2196/78377,
  title = {The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review},
  author = {Obada Almaabreh and Rukaya Al-Dafi and Aliya Tabassum and Ahmad Othman and Alaa Abd-alrazaq},
  year = {2026},
  journal = {Journal of Medical Internet Research},
  doi = {10.2196/78377},
  url = {https://doi.org/10.2196/78377}
}

RIS

TY  - JOUR
TI  - The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review
AU  - Obada Almaabreh
AU  - Rukaya Al-Dafi
AU  - Aliya Tabassum
AU  - Ahmad Othman
AU  - Alaa Abd-alrazaq
PY  - 2026
JO  - Journal of Medical Internet Research
DO  - 10.2196/78377
UR  - https://doi.org/10.2196/78377
ER  -

APA

Almaabreh, O., Al-Dafi, R., Tabassum, A., Othman, A., & Abd-alrazaq, A. (2026). The Performance of Artificial Intelligence in Classifying Molecular Markers in Adult-Type Gliomas Using Histopathological Images: Systematic Review. Journal of Medical Internet Research. https://doi.org/10.2196/78377

Source records

crossref · retrieved 2026-09-24T22:39:07.867Z