ai
DemAI
Mild Cognitive Impairment (MCI) is an early stage of dementia, and its timely detection can significantly improve healthcare outcomes. Our research applies deep learning techniques to detect subtle cognitive changes before they develop into dementia.

Our Mission
AI-Powered Early Dementia Detection
Our research focuses on leveraging deep learning to analyze speech patterns for the early detection of Mild Cognitive Impairment (MCI), a precursor to dementia. Identifying subtle cognitive changes at an early stage can lead to timely interventions, improving healthcare outcomes. By utilizing AI-driven speech analysis, we aim to develop an accessible and efficient screening tool for proactive cognitive health monitoring.
AI-powered speech analysis for early dementia detection
Enhancing healthcare with proactive cognitive screening

Dementia speech dataset
- Pitt Corpus
- Delaware Corpus
- ADReSS Challange
- ADReSSo Challange
- TAUKADIAL Challange
Validation
Performance validation against standard clinical assessments
Speech processing
Audio preprocessing to extract linguistic and acoustic features
AI Model
We utilize transformer-based deep learning models to analyze speech patterns and detect early signs of Mild Cognitive Impairment (MCI)
The value we bring
Impact & Benfits
Our AI-driven speech analysis benefits multiple stakeholders. Patients & Families gain access to early detection, enabling timely treatment and better care planning. Healthcare Systems can reduce reliance on expensive diagnostic procedures, making dementia screening more efficient. AI Research Community benefits from advancements in deep learning applications, driving innovation in healthcare technology.
Patients & Families
Healthcare Systems
AI Research Community
