- About Us
- Services
- Stories
- Faisal Beg – Algorithms to Advance Research in Medicine
- Yasutaka Furukawa – Smart Building Technologies to Enhance Living Spaces and Create Opportunities
- Mo Chen – AI to Create Safe and Practical Robotics
- Sheelagh Carpendale – Understanding Data Through Interaction and Visualization
- Innovation to Improve 3D Navigation
- Voice AI is Helping Shoppers Make Better Decisions
- Geographic Information Science Can Help Better Track COVID-19
- Deep Learning to Inform Medical Diagnoses
- Protecting Killer Whales from Marine Traffic
- Using Big Data to Boost Athletic Performance
- Machine Reading for Literary Texts
- Finding a Cure for HIV with Big Data
- Linked Data for Women's History
- How Big Data Can Combat Fake News
- Algorithms for Safer Streets
- Discovering Wilde Data
- Deep Blue Data
- Big Data Meets Big Impact
- Previous Next Big Question Fund Projects
- Data Fellowships
- Using Data
- Upcoming Events
Big Data Approaches AI and Clinical Brain Imaging
Big Data Approaches for Synergy between Artificial Intelligence and Clinical Brain Imaging
Project Team: Sam Doesburg (Biomedical Physiology and Kinesiology, SFU), Urs Ribary (Behavioral and Cognitive Neuroscience Institute, SFU), Vasily Vakorin (Biomedical Physiology and Kinesiology, SFU), George Medvedev (Fraser Health Authority)
Breakthroughs in computational imaging and machine learning can effectively aid in diagnosing patient conditions, match treatment with best outcomes and predict patients at risk for disease or hospital readmission. The amount of data that is collected in the process of a diagnostic workup and treatment of patients is tremendous. But, the organization and evaluation of such amount of data is impossible without collaboration of clinicians and computational data experts.
Strengthening collaborative research with strategic partners in clinical health is key to delivering insights. The Fraser Health Authority services Canada’s fastest growing municipalities while its Royal Columbian Hospital provides complex neurological, neurosurgical and neuro-radiological care to approximately 1.5 million people in the region. Adopting data-driven approaches to brain imaging enables clinicians to better predict and classify neurological states and facilitate better treatment decisions for the patient.
This transformative project enables SFU to pursuing translational research and new collaborations in health care, and will also be highly beneficial for clinical imaging communities with the goal to improve health care in British Columbia.