AI is changing Alzheimer's and dementia care

The article reports that AI is being used to detect Alzheimer’s earlier and to speed patient matching for clinical trials, addressing delays and specialist shortages that affect dementia care.

For the 11 million Americans caring for a loved one with dementia, the path to timely help is often slowed by long waits, paperwork, and a shortage of specialists. The article describes how delivering treatments, not just developing them, is a central challenge for 2026 health care. Artificial intelligence is being applied to parts of that delivery system by automating early risk detection, clinical trial matching, and safety monitoring. The piece cites specific research and tools compiled by Kivo to illustrate these uses. Key developments: - About 11 million Americans provide care for family members with dementia, and families often face long delays before diagnosis and support. - Researchers at the National University of Singapore developed RetiPhenoAge, an AI tool that analyzes eye photos; the study reported a 25–40% higher risk of cognitive decline for people with a higher retinal age. - A 2024 study funded by the National Institute on Aging reported that AI analysis of speech predicted Alzheimer’s up to six years before diagnosis with 78.2% accuracy. - The article notes that 85% of clinical trials are delayed because of difficulty finding volunteers, and tools like TrialGPT were highlighted by the NIH for matching patients to trials with reported 87.3% accuracy and faster turnaround. - The American Academy of Neurology warned of a projected 19% shortage of neurologists by 2025, creating access gaps in some areas. Summary: AI applications described in the article aim to shorten the time to detection, make clinical trial matching faster, and let specialists support more patients remotely. Adoption and integration of these tools are underway in 2026, and their broader impact and scale are undetermined at this time.