Innovative AI Tool for Detecting Cognitive Decline and Alzheimer's Prevention
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Synopsis
On March 15, researchers from the US introduced an AI-based tool aimed at evaluating cognitive impairments and mitigating the risk of Alzheimer's disease in older adults. The innovative device promises to enhance early detection and intervention strategies.
Key Takeaways
- AI technology aids in assessing cognitive impairments.
- Early detection of MCI is crucial for effective intervention.
- Portable system measures motor function accurately.
- Identified 83% of participants with MCI.
- Potential applications include rehabilitation and other health conditions.
New Delhi, March 15 (NationPress) A group of researchers from the United States has created a cutting-edge artificial intelligence (AI) system that shows promise in evaluating cognitive impairments and reducing the risk of Alzheimer’s disease or dementia among elderly individuals.
Mild cognitive impairment (MCI) can signal the onset of Alzheimer’s disease or dementia, making early identification of cognitive challenges crucial for effective interventions and improved health outcomes.
However, diagnosing MCI often presents challenges, particularly in rural regions where access to licensed neuropsychologists is restricted.
The team from the University of Missouri developed a portable device featuring a depth camera, a force plate, and an interface board. Their study revealed that it can effectively measure various aspects of motor function.
The researchers evaluated older adults, including those diagnosed with MCI, by having them perform three tasks: standing still, walking, and rising from a bench.
During these tasks, participants were also required to count backward in increments of seven.
Utilizing data captured by the portable system, a machine learning model—an advanced form of artificial intelligence—successfully identified 83 percent of participants with MCI.
“The brain regions associated with cognitive impairment overlap with those responsible for motor function, which means that a decline in one area can affect the other,” explained Trent Guess, an associate professor in the College of Health Sciences at the university.
“Our new device can detect subtle differences in motor skills related to balance and walking that might otherwise go unnoticed,” Guess added.
With the global incidence of Alzheimer’s disease anticipated to rise, this portable technology holds the potential to assist millions of older adults, especially since MCI is a known precursor to Alzheimer’s and dementia.
“This portable system also has numerous other applications, including assessing individuals with concussions, sports rehabilitation, ALS, Parkinson’s disease, as well as for knee and hip replacements,” Guess remarked.
