Latest AI and machine learning research in brain cancer for healthcare professionals.
Artificial intelligence (AI) is increasingly being used in the medical field, specifically for brain...
Manual segmentation of tumors and organs-at-risk (OAR) in 3D imaging for radiation-therapy planning ...
In this study, we utilized data from the Surveillance, Epidemiology, and End Results (SEER) database...
Microrobots have emerged as powerful tools for manipulating particles, cells, and assembling biologi...
BACKGROUND: It is not unusual to see some parts of tissues are excluded in the field of view of CT s...
Local recurrences in patients with grade 4 adult-type diffuse gliomas mostly occur within residual n...
Identification of isocitrate dehydrogenase (IDH)-mutant glioma patients at high risk of early progre...
. Prior to radiation therapy planning, accurate delineation of gross tumour volume (GTVs) and organs...
Recent researches reported that neurotrophins can promote glioma growth/invasion but the relevant mo...
Glioblastoma presents characteristically with an exuberant, poorly functional vasculature that cause...
PURPOSE: Artificial intelligence (AI)-based auto-segmentation models hold promise for enhanced effic...
This study proposes a deep convolutional neural network for the automatic segmentation of glioblasto...
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have bec...
OBJECTIVE: The aim of this study was to evaluate transfer learning combined with various convolution...
This analysis aimed to characterize the exposure-response relationship of bevacizumab in non-small-...
Magnetic resonance imaging (MRI) is a powerful tool for tumor diagnosis in human brain. Here, the MR...
While AI is widely used in biomedical research and medical practice, its use is constrained to few s...
Recent advancements in large language models (LMM; e.g., ChatGPT (OpenAI, San Francisco, California,...
INTRODUCTION: Artificial intelligence (AI)-based technologies embody countless solutions in radiatio...
Clinical evaluation evidence and model explainability are key gatekeepers to ensure the safe, accoun...
PURPOSE: Implementing artificial intelligence technologies allows for the accurate prediction of rad...