Researchers develop AI Tool to identify undiagnosed Alzheimer's cases while reducing disparities
Peer-Reviewed Publication
In honor of Alzheimer's Awareness Month, we’re exploring the science and stories surrounding Alzheimer’s disease.
Updates every hour. Last Updated: 12-Dec-2025 12:11 ET (12-Dec-2025 17:11 GMT/UTC)
Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify patients with undiagnosed Alzheimer’s disease, addressing a critical gap in Alzheimer’s care: significant underdiagnosis, particularly among underrepresented communities.
Dementia, including Alzheimer’s (AD) and frontotemporal dementia (FTD), often causes overlapping symptoms, making diagnosis challenging. Traditional imaging is costly and slow, while EEG offers a cheaper, portable option—but interpreting signals has been difficult. FAU researchers have developed a deep learning model that analyzes EEG brain activity to accurately detect both type and severity of dementia. This AI-driven approach identifies key brainwave patterns, enabling faster, noninvasive, and precise monitoring of disease progression, transforming dementia diagnosis and care.
A new arts and wellbeing program co-developed by the University of South Australia, Flinders University and the University of Adelaide shows that supporting the social needs of people living with dementia and their carers can help families rediscover connection, confidence and a sense of community.