AI tool launched: remote assessment of Parkinson's disease symptoms by tapping fingers in front of camera

Researchers at the University of Rochester recently developed an artificial intelligence tool that can help Parkinson's disease patients remotely assess the severity of their symptoms in minutes

Published in the journal npj Digital Medicine, the new tool asks users to tap their fingers 10 times in front of a webcam and then rate their athletic performance on a scale of 0-4.

According to IT House, 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) to assess severity. degree. 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, which involved 250 people with Parkinson's disease around the world, compared the AI ​​system's ratings with those of three neurologists and three primary care physicians. The results showed that expert 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 UT and co-director of the Rochester Human-Computer Interaction Laboratory, said the findings could have important implications for patients who have difficulty making appointments with neurologists or traveling to hospitals.

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 indicator of the presence or severity of the disease without physician involvement.

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