AI-Driven Carotid Ultrasound Advancements: Redefining Stroke Risk Assessment in 3D

Stroke, a leading global cause of death and disability, often results from the rupture of dangerous fatty deposits, known as plaques, in the neck arteries. The current method of assessing stroke risk using 2D ultrasound is limited by operator dependency and lacks a 3D structure assessment, leading to misdiagnoses and re-scans. Our project aims to overcome these challenges by developing AI-powered algorithms that enhance the accuracy of 2D ultrasound diagnostics, improving stroke risk assessments and treatment decisions. This innovative approach will position Canada as a leader in healthcare innovation, contributing to advancements in AI disciplines and promoting accessible and inclusive healthcare solutions. The partner organization, Sonaro, will benefit by gaining access to high-quality data, ensuring the accuracy of the developed models, and establishing valuable network connections within the academic institution

Faculty Supervisor:

Alan Moody

Student:

Partner:

Sonaro

Discipline:

Life Sciences

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: