Latest AI and machine learning research in brain cancer for healthcare professionals.
Patient outcomes are significantly impacted by the effectiveness and quality of radiation treatment ...
Artificial intelligence models with biomarkers to predict treatment responses to radiation would be ...
PURPOSE: Patients with head and neck cancer undergoing radiation therapy (RT) may experience pronoun...
BACKGROUND AND PURPOSE: Glioma molecular characterization is essential for risk stratification and t...
Accurate brain tumor classification is essential in neuro-oncology, as it directly informs treatment...
The high-resolution three-dimensional (3D) images generated with digital breast tomosynthesis (DBT) ...
Glioblastoma (GBM) is classified into subtypes according to the molecular expression profile; the pr...
BACKGROUND: Glioma is a common primary malignant brain tumor. This study aimed to develop a predicti...
Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Tradition...
BACKGROUND: Novel diagnostic criteria for glioblastoma (GBM) in the 2021 WHO classification emphasiz...
BACKGROUND: Multiparametric Magnetic Resonance Imaging (mpMRI) is the gold standard for diagnosing b...
Cancer continues to be a significant international health issue, which demands the invention of new ...
This study presents a hybrid computational investigation into the radiation shielding behavior of Fe...
This paper explores how artificial intelligence (AI) is being woven into precision medicine for neur...
BACKGROUND: With the increasing use of computed tomography (CT) in clinical practice, greater attent...
Glioblastoma (GBM) is a highly aggressive brain tumor with poor outcomes and limited treatment optio...
Diffuse midline glioma (DMG) H3 K27M-altered is a rare pediatric brainstem cancer with poor prognosi...
PURPOSE: To develop and validate interpretable machine learning models for differentiating glioblast...
Glioblastoma multiforme is a lethal disease, with a 5-year survival rate of <10%. The identification...
: Accurate postural assessment is essential for managing musculoskeletal disorders; however, routine...
The treatment outcomes of lung cancer are highly variable, and machine learning (ML) models provide ...