In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

An AI-powered model developed at the University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. The model detected neurological conditions with up to 97.5% ...

A woman with a family history of cancer paid out-of-pocket for a full-body MRI scan (Prenuvo) as a proactive health measure. The scan detected a walnut-sized brain tumor in her temporal lobe, a rare ...

Brain tumors represent a significant health challenge in India, with approximately 28,000 new cases diagnosed annually. Conventional deep learning approaches for MRI-based segmentation often struggle ...

Levels of iron in the brain could be a warning sign of future Alzheimer’s disease, a new study suggests. High levels of the chemical element have been shown to increase brain toxins and trigger ...

1 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL, USA. 2 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Abstract: Medical image segmentation is a critical task in clinical diagnosis and treatment, particularly for brain tumor analysis using imaging modalities such as Magnetic Resonance Imaging (MRI) and ...