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

Puntos clave

• 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.