Our brain and eyes can play tricks on us—not least when it comes to the expanding hole illusion. A new computational model ...

Deep learning methods are breaking records in the areas of speech, signal, image, video and text mining and recognition and improving ... learning methods to functional and structural magnetic ...

Paper 3: Enhancing brain tumor detection in MRI images using YOLO-NeuroBoost model ... demonstrating the potential of machine learning and deep learning techniques in medical imaging applications.

A new study led by researchers at Mass General Brigham suggests that different brain regions activated by creative tasks are ...

Allows a maximum whole body averaged specific absorption rate (SAR) of 4 watts per kilogram (W/kg) for high image resolution. Must be used in conjunction with an MRI lead from St. Jude Medical.

Researchers have developed a method that leverages artificial intelligence to ensure accurate heart scans without added radiation or cost.

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission ...

detecting signals in NMR and MRI, inertial rotation sensing, magnetic microscopy with cold atoms, and tests of fundamental symmetries of nature. The present-day interest in optical magnetometers ...

A recent patent application from Laleh Rad, associate professor of Biomedical Engineering and Radiology at Northwestern University, describes the use of machine learning for real-time risk assessment ...

TikTok has unveiled its Discover List for 2025, featuring 50 creators from around the world who are redefining culture and ...