AI detects multiple sclerosis and its progression along gait

Researchers have created AI that can track changes in the gait of people with multiple sclerosis and signal that the disease is worsening.

Multiple sclerosis can manifest itself in many ways. In the roughly two million people it affects worldwide, one of the most common symptoms is walking problems. About half of patients need assistance with walking within 15 years of the onset of the disease.

The authors of the new work have created a mechanism that analyzes gait and determines if a person has multiple sclerosis and whether it is progressing. To do this, they collected data on the gait of people with and without the disease. While walking, special software analyzed the reactions in the body and the position of the center of pressure during the walk.

Changes in different gait patterns helped the team discover specific patterns for each group of subjects.

Based on these patterns, new technology can determine whether a disease is progressing in the body.

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Author: John Kessler
Graduated From the Massachusetts Institute of Technology. Previously, worked in various little-known media. Currently is an expert, editor and developer of Free News.
Function: Director

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