Welcome to the AI Lab at the School of Computer Science, College of Engineering and Physical Sciences, University of Guelph! Our lab focuses on the intersection of AI and healthcare, engaging undergraduate students, MSc, PhD Computer Science students, and Post-doctoral fellows in cutting-edge research. Our objectives include:
- AI + Chronic Disease Management: Developing AI solutions to analyze datasets, identify patterns, classify abnormalities, and predict disease progression for chronic diseases like heart disease, chronic respiratory conditions, and diabetes to enable personalized treatment plans.
- AI + Aging Population and Elder Care: Creating AI models to predict and anticipate healthcare needs of the elderly, focusing on fall detection, imminent fracture risk assessment, and real-time health monitoring using smart clothing and wearable devices.
- AI + Healthcare Accessibility and Resource Allocation: Developing AI-enhanced telemedicine solutions for remote diagnosis and treatment, including AI-powered diagnostic tools for skin condition, range of motion assessment, remote rehabilitation, and NLP for supporting doctors in patient consultations to expand access to quality healthcare for underserved populations.
Through our innovative research, strategic partnerships, and training of highly qualified personnel (HQP), we aim to improve patient outcomes and healthcare accessibility, contributing to the well-being of society. Join us in exploring the potential of AI in transforming healthcare.
Principal Investigator: Dr. Ed Sykes
School of Computer Science
College of Engineering and Physical Sciences
University of Guelph