Multimodal Explainable Artificial Intelligence for Prognostic Stratification of Patients With Glioblastoma

• Published in: Modern pathology Vol. 38; no. 9; p. 100797
• Main Authors: Baheti, Bhakti, Rai, Sunny, Innani, Shubham, Mehdiratta, Garv, Bell, William Robert, Guntuku, Sharath Chandra, Nasrallah, MacLean P., Bakas, Spyridon
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.09.2025
• Subjects: glioblastoma; histopathology; interpretability; multimodal; prognosis; XGBoost; histopathology; interpretability; multimodal; glioblastoma; prognosis; XGBoost

Glioblastoma (GBM) is the most common and aggressive malignant adult tumor of the central nervous system, with a grim prognosis and heterogeneous morphologic and molecular profiles. Since the adoption of the current standard-of-care treatment in 2005, no substantial prognostic improvement has been n...