To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

A novel MRI-based ‘aging’ clock may offer a simple way to identify patients whose biological age is outpacing their ...

Understanding how the human brain represents the information picked up by the senses is a longstanding objective of ...

This study aims to leverage the advantages of anatomy-guided reconstruction without requiring MRI or CT scans by developing an unsupervised diffusion model to enhance brain PET images. We propose the ...

This study evaluates MR sequences known as T1-weighted images in axial sliced section. Intensity group clustering algorithms are proposed to achieve further diagnosis for brain MR images.

Multiparametric magnetic resonance imaging (MRI)-based machine learning techniques have the potential to identify B-cell lymphoma-6 (BCL-6) overexpression in patients with primary central nervous ...

AI tool uses MRI scans to track the pace of brain changes, mapping anatomic variations in regional brain aging rates according to factors including sex and age.

A new artificial intelligence model measures how fast a patient's brain is aging and could be a powerful new tool for understanding, preventing and treating cognitive decline and dementia.

The earlier model used AI analysis to compare a patient’s brain anatomy to data compiled from the MRI scans of thousands of people of various ages and cognitive health outcomes. However, the ...

OBJECTIVE To support the hypothesis about the potential compensatory role of ipsilateral corticofugal pathways when the contralateral pathways are impaired by brain tumours. METHODS Retrospective ...

When UAB investigators are interested in carrying out state-of-the-art experiments and analyses to examine brain and body anatomy and function, they come to the Research MRI Core, one of 15 core ...