Study Explores Artificial Intelligence as a Tool to Identify Cognitive Decline
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Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing MCI can be a long and difficult process, especially in rural areas where access to licensed neuropsychologists is limited.
To increase accessibility to cognitive assessments, a team of researchers at the University of Missouri created a portable system to efficiently measure multiple aspects of motor function. The device is simple and affordable, combining a depth camera, a force plate and an interface board.
For the study, the team examined older adults, some of whom had MCI, and asked them to complete three activities: standing still, walking and standing up from a bench. Participants had to complete these activities while counting backward in intervals of seven at the same time. Based off their performance, which was captured by the new portable system, the data was fed into a machine learning model — a type of artificial intelligence — that accurately identified 83% of those in the study with MCI.
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