Mathematical models that computers use massive amounts of data, to learn and solve problems in men’s ways, making complex tasks like images. Tools, brain images (MRI studies) can take essential information during the care of MS patients, such as measuring the brain affected areas and highlighting subtle changes in the brain and subtle changes like plates.

The MS immune system is a condition that attacks the brain and spinal cords. This creates problems with how a person moves, feels or thinks. In the UK, 130,000 people live with MS, costing the NHS more than £ 2.9 billion per year. Images of magnetic resonance (MRI) markers are key to learning and testing MS treatments.

However, measuring these markers requires different types of specialized MRI studies, limiting the effectiveness of many hospital analysis routines. As part of a new study published in nature communication, researchers tested the effectiveness of Minimise more than 1,000 patients with more than 1,000 patients MS This task prior to interpreting neuro-radiological experts to interpret complex demands, and the turn of these images is for many weeks of time due to the NHS work load.

However, Mingle could use AI successfully using treatments on how affected treatments are affected by images that cannot be examined in progress and conventional diseases. The process took only five to 10 seconds per image.

Mindglid also made better than two other tools (MRI examinations) and WMH-Synthegs (a tool used to identify and find different parts of MRI) (is a tool that detects and measures the place viewed by MRI analysis). It can be important to diagnose and control conditions like MS. – Expert compared to clinical analysis.

Mingle was 20 better than SAMS and WMH-Synths, known as brain abnormalities with plaques (or injuries) to control or control the effect of treatment. Philipp Goebl (UCL Square Neurology (UCL Square Institute dokter), we will understand multiple sclerosis, the tools that are remote from the brain, the future of a multiple sclerosis and, the future for the nearby researchers, the patient’s situation AI In better understanding of the clinic.

The results of the next five and 10. Research results, even if it is used to identify changes in the external layer of the brain, also worked well in deeper brain areas. The discoveries were valid and reliable, yes In time and periods of longer periods (I.E. Patients in the annual study involved). In addition, thoughts could ratify previous pre-quality studies on what treatments were most effective.

Researchers hope MS can be used to evaluate MS treatments in real-world settings, based only on high-quality clinical test data, which did not capture full diversity of people. Dr. Arman Eshaghi, the main researcher of the project and hospital information treasure lead, to provide unprecedented perspectives and how to influence treatment and impact on the brain. “

Sources

https://healthcare-in-europe.com/en/news/ai-tool-track-effectiveness-multiple-sclerosis-treatment.html

https://english.gujaratsamachar.com/news/science-technology/new-ai-tool-to-track-efficacy-of-multiple-sclerosis-treatments