Through a comprehensive evaluation of model complexity and number of parameters, it was determined that the overall performance of the proposed model is the best when eight group convolutions are used ...

Add Yahoo as a preferred source to see more of our stories on Google. BrainIAC, a new AI model, analyzes brain MRIs to predict dementia risk, tumor mutations, and brain cancer survival. (CREDIT: ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

Ahead of RAPID + TCT 2026, Maggie Lashutka explains how Ricoh uses 3D printing to create patient-specific brain models for surgical planning.

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using unlabeled ...

Steven Weisberg, a researcher at The University of Texas at Arlington, put some of the most advanced artificial intelligence ...

The human brain is complex. Artificial intelligence (AI) machine learning and medical imaging data are accelerating breakthroughs in brain health, especially in medical diagnostics. A peer-reviewed ...

A new AI-assisted brain atlas that can help visualize the human brain in unprecedented detail has been developed by UCL researchers, in a major step forward for neuroscience and neuroimaging. The ...

Claritas NucMed Technologies Ltd (Claritas), a healthcare technology company specializing in state-of-the-art image enhancement, noise reduction, segmentation and quantification, and related AI ...

MRI is a diagnostic test that doctors use to diagnose and track the progress of amyotrophic lateral sclerosis (ALS). ALS is a progressive disease that damages nerve cells in the brain and spinal cord.