Latest AI and machine learning research in brain cancer for healthcare professionals.
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...
Accurate classification of brain tumors from magnetic resonance imaging (MRI) plays a critical role ...
Background: Tumor vasculature is a key driver of glioma progression, yet routine quantification depe...
Multi-site neuroimaging analysis is fundamentally confounded by scanner-induced covariate shifts, wh...
Lung cancer is a condition where there is abnormal growth of malignant cells that spread in an uncon...
The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-tre...
Spatial transcriptomics enables comprehensive characterization of tissue architecture, and the ident...
Purpose/Objective: Brain tumors result in 20 years of lost life on average. Standard therapies induc...
Precise prognostic modeling of glioblastoma (GBM) under varying treatment interventions is essential...
Artificial intelligence-based radiation therapy (RT) planning has the potential to reduce planning t...
Introduction: Manual data extraction from unstructured clinical notes is labor-intensive and impract...
Segmentation is crucial for brain gliomas as it delineates the glioma s extent and location, aiding ...
Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...
Accurate brain tumor typing requires integrating heterogeneous clinical evidence, including magnetic...
Glioblastoma exhibits diverse, infiltrative, and patient-specific growth patterns that are only part...
Background: The rapid growth of public single-cell and spatial transcriptomics repositories has shif...
Lower-grade gliomas (World Health Organization [WHO] grades 2-3) exhibit variable treatment response...
Extrachromosomal DNA (ecDNA) is a major driver of oncogene amplification, tumour heterogeneity and p...
Clinical deployment of foundation models requires decision policies that operate under explicit erro...
Meningiomas are the most common primary brain tumors and, despite their benign reputation, often beh...
Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption rema...