Latest AI and machine learning research in brain cancer for healthcare professionals.
BACKGROUND AND PURPOSE: Accurate segmentation of the clinical target volume (CTV) is essential to de...
Glioblastoma Multiforme (GBM), classified as a grade IV glioma by the World Health Organization (WHO...
Artificial intelligence (AI) is transforming medical radiation applications by handling complex data...
Deep-tissue solid cancer treatment has a poor prognosis, resulting in a very low 5-year patient surv...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
PURPOSE: We investigate the feasibility of using a biophysically guided approach for delineating the...
BACKGROUND: Modern radiation therapy techniques, such as intensity-modulated radiation therapy (IMRT...
OBJECTIVE: Differentiating between brain metastasis (BM) and glioblastoma (GBM) preoperatively is ch...
To develop a deep reinforcement learning (DRL) agent to self-interact with the treatment planning sy...
BACKGROUND/OBJECTIVES: Calculating the radiation dose from CT in F-PET/CT examinations poses a signi...
OBJECTIVE: This study aims to evaluate the effectiveness of deep learning features derived from mult...
INTRODUCTION: Precision medicine refers to managing brain tumors according to each patient's unique ...
Glioblastoma multiforme (GBM) is the most prevalent malignant brain tumor, with an average survival ...
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of...
PURPOSE: To establish an artificial intelligence (AI)-empowered multistep integrated (MSI) radiation...
PURPOSE: To explore the feasibility of Deep learning radiomics nomograms (DLRN) in predicting IDH ge...
BACKGROUND: Manual contour corrections during fractionated magnetic resonance (MR)-guided radiothera...
BACKGROUND AND PURPOSE: Knowledge-based planning (KBP) can consistently and efficiently create high-...
BACKGROUND AND PURPOSE: Atypical meningiomas are prevalent intracranial tumors with varied prognoses...
Medical image analysis has significantly benefited from advancements in deep learning, particularly ...
BACKGROUND: To verify overall survival predictions made with residual convolutional neural network-d...