Latest AI and machine learning research in brain cancer for healthcare professionals.
The growing burden of cancer and recent surge in healthcare data availability call for new ways of a...
Currently, the focus of intraoperative imaging in brain tumor surgery is beginning to shift to optic...
PURPOSE: This study aims to create a deep learning (DL) model capable of accurately delineating the ...
Sixteen sites in the coastal city of Qingdao, including eight national control sites, seven provinci...
INTRODUCTION: Presently, heavy particle ion radiation therapy is commonly utilized for the treatment...
This study proposes a novel approach to predict the efficacy of bevacizumab (BEV) in treating peritu...
Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...
High-grade gliomas, particularly glioblastoma (MeSH:Glioblastoma), are among the most aggressive and...
The proliferation of toxigenic fungi in food and the subsequent production of mycotoxins constitute ...
INTRODUCTION: Artificial intelligence (AI) is now transforming medical imaging, with extensive ramif...
PURPOSE: Artificial intelligence (AI) tools could improve clinical decision making or exacerbate ine...
BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...
Solitary fibrous tumor (SFT), formerly known as hemangiopericytoma, is an uncommon brain tumor often...
Purpose To develop an unsupervised deep learning framework for generalizable blood-brain barrier lea...
Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular ...
Based on observed meteorological elements, photolysis rates (J-values) and pollutant concentrations,...
PURPOSE: A multimodal artificial intelligence (MMAI) biomarker was developed using clinical trial da...
BACKGROUND AND PURPOSE: We aimed to develop a physics-informed deep learning model for beam dose pre...
Due to the complex structure of the brain, variations in tumor shapes and sizes, and the resemblance...
Cis-regulatory elements (cREs) play a crucial role in regulating gene expression and determining cel...
Purpose To develop and evaluate the performance of NNFit, a self-supervised deep learning method for...