One Step Forward—The Current Role of Artificial Intelligence in Glioblastoma Imaging

Artificial intelligence (AI) is rapidly integrating into diagnostic methods across many branches of medicine. Significant progress has been made in tumor assessment using AI algorithms, and research underway on how image manipulation can provide information with diagnostic, prognostic treatment impacts. Glioblastoma (GB) remains the most common primary malignant brain tumor, a median survival 15 months. This paper presents literature data GB imaging contribution to characterization tracking GB, as well recurrence. Furthermore, from an point view, differential diagnosis these tumors be problematic. How algorithm help diagnosis? The integration clinical, radiomics molecular markers via holds great potential tool for enhancing patient outcomes by distinguishing mimicking lesions, classifying grading tumors, evaluating them before after treatment. Additionally, aid differentiating between recurrence post-treatment alterations, which challenging conventional methods. Overall, significantly improve enabling more accurate diagnosis, precise planning better monitoring response.