What question did this study set out to answer?

To explore the use of artificial intelligence for evaluating biomarker expression in glioblastoma.

February 16, 2026Journal of College of Physicians And Surgeons Pakistan0 citationsOpen Access

Artificial Intelligence-Based Digital Image Analysis for Assessing Ki67, P53, and PHH3 Expression in Glioblastoma Multiforme

To explore the use of artificial intelligence for evaluating biomarker expression in glioblastoma.
Utilized digital image analysis techniques to assess Ki67, P53, and PHH3 expression.
Conducted analysis on glioblastoma tissue samples using AI algorithms.
Investigated correlations between biomarker expressions and clinical outcomes.
Found significant associations between P53 expression and tumor characteristics.
Demonstrated the effectiveness of AI in enhancing digital pathology workflows.
Validated the potential of AI tools for improving diagnostic accuracy in glioblastoma assessments.

Digital pathology, Artificial intelligence, Ki67, p53, PHH3, Glioblastoma.

问 AI

Bookmark

View Full Paper

Devrim et al. (Sun,) studied this question.

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

问 AI

Bookmark

View Full Paper