AD-istics: A Machine Learning Framework for Optimized Detection of Dementia and Alzheimer's Disease

Overview

Dementia and Alzheimer's disease are leading problems for seniors today, affecting millions of individuals worldwide. Symptoms of these conditions include cognitive impairment, personality changes, and immense depression, often affecting an individual's quality of life and posing immense strains on families. My project aims to solve many of the issues related to dementia detection today; I aim to create an effective solution. An effective solution involves being accurate, accessible, cost-effective, and time-effective for various problems that still exist in the healthcare system for the detection of various diseases today. Thus, I have designed a dual machine learning network mimicking real-life dementia detection, capable of taking in clinical data administered by general healthcare professionals and MRI brain scans. These machine learning models run in parallel and are combined into a demonstrative software interface to show how they can be used as an assistive tool for neurologists and doctors in real time.

Awards (1)

• Selected for CWSF 2026

Competition history

• CWSF 2026 Disease & Illness

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