Clinical dAta, NAtural language pRocessing and eYe tracking for dementia risk stratification (CANARY)

CANARY is an interdisciplinary group that has developed a 10-minute assessment that detects abnormal cognitive performance and early-stage neurodegeneration. Our assessment is quick, painless, easy to complete, and provides accurate results using only speech and eye-movement data.

Watch the below video to learn more about the project!

Recent publications and presentations from our team

  • The language of the eyes
    Diane Haynes, Frontiers of Medicine, TREK Magazine for UBC Alumni, June 16, 2021. The following is an article from the UBC Alumni TREK Magazine. You can read the full article here. Bicycle, velvet, church. I watch over her shoulder as she tries to draw 10 minutes before 11 o’clock on a … Read more
  • Exploring neural models for predicting dementia from language
    Weirui Kong, Hyeju Jang, Giuseppe Carenini, Thalia S. Field, Computer Speech & Language, Volume 68, 2021, 101181, ISSN 0885-2308, Early prediction of neurodegenerative disorders such as Alzheimer’s disease (AD) and related dementias may facilitate earlier access to medical and social supports. Further, detection of individuals with preclinical disease may help … Read more
  • Machine learning analysis of speech and eye tracking data to distinguish Alzheimer’s clinic patients from healthy controls
    Thalia S. Field, Sally May Newton-Mason, Sheetal Shajan, Oswald Barral, Hyeju Jang, Thomas Soroski, Zoe O’Neill, Cristina Conati, Giuseppe Carenini, Alzheimer’s Dement. 2020;16(Suppl. 5):e046742. Background: Clinical trials of disease-modifying therapies for Alzheimer’s disease (AD) are increasingly focused on recruiting individuals with preclinical or early-stage disease. Artificial intelligence may help in … Read more