AI tool launches to remotely assess symptoms of Parkinson's disease, just by tapping your fingers in front of a camera

September 10 news, researchers at the University of Rochester have developed an artificial intelligence tool that can help Parkinson’s disease patients remotely assess the severity of their symptoms in minutes.

The new tool, published in the journal npj Digital Medicine, asks users to tap their fingers 10 times in front of a webcam and then respond based on a scale of 0-4. Grades assess athletic performance.

According to our understanding, doctors usually ask patients to do some simple movement tasks to assess movement disorders and use guidelines such as the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Assess severity. This artificial intelligence model can provide rapid assessment according to MDS-UPDRS guidelines, automatically generating interpretable, standardized, repeatable, and medical guideline-consistent calculated indicators such as speed, amplitude, frequency, and period, which use these attributes to analyze the characteristics of tremor. Classify the severity.

The finger-tapping task, performed by 250 people with Parkinson's disease around the world, showed the AI ​​system's ratings compared with those of three neurologists and three primary care physicians. The results showed professional neurologists performed slightly better than the AI ​​model, but the AI ​​model outperformed primary care physicians with UPDRS certification.

Ehsan Hoque, an associate professor in the Department of Computer Science at St. Petersburg University and co-director of the Rochester Human-Computer Interaction Laboratory, said, "These findings may be useful for patients who have difficulty getting neurologist appointments and hospital visits." The researchers say their method could also be applied to other motor tasks, opening the door to the assessment of other types of movement disorders, such as ataxia and Huntington's disease. The new Parkinson's disease assessment tool is already available online, though researchers caution that the technology is in its early stages and should not be viewed as a conclusive measure of the presence or severity of the disease without physician involvement.

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