Harnessing Explainable AI for Precision Cancer Diagnosis and Prognosis

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ORIGINAL RESEARCH

Accepted on 23 Jun 2025

An Interpretable XAI Deep EEG Model for Schizophrenia Diagnosis Using Feature Selection and Attention Mechanisms

Ahmad Almadhor
Stephen Ojo
Thomas Nathaniel
Shtwai Alsubai
Abdullah Alharthi
Abdullah Al Hejaili
Gabriel Avelino Sampedro

doi 10.3389/fonc.2025.1630291

181 views

REVIEW

Published on 14 Apr 2025

Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis

Aref Smiley
David Villarreal-Zegarra
C. Mahony Reategui-Rivera
Stefan Escobar-Agreda
Joseph Finkelstein

doi 10.3389/fonc.2025.1555247

1,461 views

ORIGINAL RESEARCH

Published on 26 Mar 2025

CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images

Novsheena Rasool
Niyaz Ahmad Wani
Javaid Iqbal Bhat
Sandeep Saharan
Vishal Kumar Sharma
Bassma Saleh Alsulami
Hind Alsharif
Miltiadis D. Lytras

doi 10.3389/fonc.2025.1554559

1,730 views
1 citation

ORIGINAL RESEARCH

Published on 27 Feb 2025

Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification

Qurat-ul-ain Mastoi
Shahid Latif
Sarfraz Brohi
Jawad Ahmad
Abdulmajeed Alqhatani
Mohammed S. Alshehri
Alanoud Al Mazroa
Rahmat Ullah

doi 10.3389/fonc.2025.1535478

2,598 views
3 citations

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Frontiers in Oncology

Frontiers in Oncology

Cancer Epidemiology and Prevention

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