Dementia care is receiving a high-tech upgrade. Researchers are deploying artificial intelligence and robotics to detect the disease earlier and help patients stay at home longer. The goal is to improve outcomes for those living with memory loss and cognitive decline.
At Texas A&M University Health, the Dementia and Alzheimer’s Research Initiative is working on an AI-powered “digital human.” This system analyzes facial expressions, biometric signals, and response timing to spot early indicators like apathy. The hope is to identify these changes before measurable cognitive decline becomes obvious.
Current screening methods often rely on self-reported evaluations, which can vary depending on who conducts them. Mark Benden, the department head of environmental and occupational health at Texas A&M’s School of Public Health, says the new approach offers a standardized and objective alternative.
“Using the same ‘digital human’ to conduct all of the evaluations across all patients and all times would be a major improvement,” Benden says. He adds that incorporating biometric data will be a game changer.
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Earlier detection could allow clinicians to intervene sooner with therapies that might slow disease progression. Although hardware and software consistency remain technical challenges, Benden notes that screening tools will likely become smaller and more accessible. This could eventually allow for passive monitoring through everyday activities.
“Hopefully, by the time the technology and processing catch up, we will have enough data to really make a big difference,” he says.
In New Hampshire, researchers are testing socially assistive robots in real homes. The project uses AI software, smart home sensors, and mobile robotics to help older adults with daily tasks. The system provides reminders and monitoring, allowing patients to remain in their own environments longer.
Moving these systems from controlled lab settings into unpredictable real-life environments introduces major technical and ethical challenges. Momotaz Begum, an assistant professor of computer science at the University of New Hampshire, says unstructured home environments remain the greatest hurdle.
Robots in aging care must interpret their surroundings with “the highest precision,” Begum says. A single failure in the perception or decision-making pipeline could create safety risks for vulnerable patients.
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The system uses personalized AI models tailored to individual homes and patient needs. “Without meaningful personalization, individual care goals simply cannot be met,” she adds.
Sajay Arthanat, a professor of occupational therapy at the University of New Hampshire, emphasizes the need for balance. He argues that maintaining a balance between safety, privacy and human autonomy remains critical as these systems become more autonomous.
“The robot realistically cannot and must not replace the human caregiver,” Arthanat says. He notes that socially assistive robots could eventually play a larger role in helping older adults age in place. However, widespread deployment will depend on broader industry investment and continued advancements in AI and robotics.
Tailoring it to the unique care demands within a home as well as to human sensibilities is key, Arthanat says.