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 ...

2, by analyzing the static pressure data, OMAS can feel the softness, hardness and shape of the contacting objects very well (press recognition ... research, and deep space exploration.

Scanxiety is the heightened anxiety and emotional distress experienced while awaiting medical test results, affecting both ...

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.

The global AI in medical imaging market size was valued at USD 1.28 billion in 2024 and is projected to reach around USD ...

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 ...