AI-driven Processing and Analysis of Glioma Imaging Data

GLIOMAID is a scientific research project focused on improving how brain tumors, specifically gliomas, are diagnosed and managed. It uses Artificial Intelligence (AI) to analyze MRI brain scans and patient data. The project collects existing clinical information and imaging from glioma patients to build AI models that support doctors in making better and faster treatment decisions.Gliomas, especially high-grade ones, are among the most common and challenging brain tumors. Many patients have poor survival chances, and diagnosis often requires invasive procedures like biopsies. Despite medical advances, current treatments have limited effectiveness. Better non-invasive diagnostic tools are urgently needed to: * Detect tumors earlier. * Predict how aggressive they are. * Help doctors plan the most effective treatments. The GLIOMAID study aims to reduce the need for invasive diagnostics by creating AI tools that interpret brain scans with high accuracy. Primary Objectives * Create Italy's First Glioma Imaging Database This database will store anonymized MRI scans and clinical records from around 700 patients. * Improve Early Detection Develop AI systems to identify brain tumors earlier from MRI scans. * Automate Tumor Mapping Use AI to outline tumors on MRI images to assist with surgical planning and treatment follow-up. * Non-Invasive Tumor Characterization Train AI models to predict tumor type and severity without needing a biopsy. Secondary Objectives * Study how well AI…

This description comes directly from the study's public registry record.

Silvio Sarubbo, MD Spec., PhD  ·  + 39 0461 903487  ·  silvio.sarubbo@unitn.it

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