A technology has emerged that uses AI (artificial intelligence) to detect brain lesions previously difficult to observe with ...

Experts from the University of Nottingham have proven that multiple sclerosis (MS) can successfully be diagnosed using an MRI scan, meaning patients no longer need to undergo a painful lumbar puncture ...

Researchers say ability to see for the first time previously hidden indicators of MS disease progression is an important advance.

AI-enhanced MRI analysis revealed more than 10,000 hidden cortical lesions linked to disability and cognitive problems in ...

A new study uses generative AI and MMCLE to reveal invisible gray matter cortical lesions on legacy MS MRI scans.

Magnetic resonance imaging (MRI) has transformed the understanding and management of multiple sclerosis (MS) by enabling non-invasive characterisation of central nervous system pathology. Conventional ...

Magnetic resonance imaging (MRI) has become indispensable in the diagnosis, monitoring and management of multiple sclerosis (MS). Conventional MRI sequences, including T1-weighted, T2-weighted and ...

One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the disease and how a patient will be affected has been mostly invisible to ...

Researchers have developed an artificial intelligence method that can uncover previously hidden signs of multiple sclerosis in routine MRI scans.

Researchers at University College London have developed a new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis ...

The collaboration will bring Cortechs.ai's quantitative MRI analysis into Viz.ai's care coordination platform, beginning with ...