Research scientists in Switzerland have developed and tested a robust AI model that automatically segments major anatomic structures in MRI images, independent of sequence. In the study, the model ...

An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training.

Araba,  has been operating without a functional Computed Tomography Scan machine for five years, PUNCH Healthwise can ...

Last week the government cut “indirect costs” to universities and medical centers, which cover shared resources like ...

By watching the brain process information, she discovered that a specific region plays a key role in spatial navigation — and ...

Striking brain similarities have been detected in patients who experience long COVID and Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS), in particular, a larger than normal hippocampus.

Four of the eight Magnetic Resonance Imaging (MRI) machines in Gauteng public hospitals are broken, leading to waiting times as long as 9 months for the diagnosis of hundreds of patients. This is ...

While traditional machine learning models suffered from their ... particularly in the context of brain disorder diagnostics using functional/structural MRI data. The primary aim is to elucidate the ...

There have been attempts at identifying structural and functional brain changes in patients with PCS, using diffusion tensor imaging (DTI) and functional MRI (fMRI), respectively, and relate them to ...

Patients at Turai Yar’adua Maternity and Children Hospital in the Katsina metropolis have appealed to the state government to provide a functional X-ray machine in the hospital. The patients ...

Find out what it's like to undergo a Magnetic Resonance Imaging scan, commonly known as an MRI scan, from our short video. Magnetic Resonance Imaging (MRI) scans are used to acquire detailed images of ...

A new study shows that a simplified, low-field MRI machine, augmented with machine learning tools, matches conventional MRI in measuring brain characteristics relevant to Alzheimer's disease.