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

  • 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 […]
  • 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 […]
  • Non-Invasive Classification of Alzheimer’s Disease Using Eye-Tracking and Language
    Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Field, Proceedings of the 5th Machine Learning for Healthcare Conference, PMLR 126:813-841, 2020. Alzheimer’s disease (AD) is an insidious progressive neurodegenerative disease resulting in impaired cognition, dementia, and eventual death. At the earliest stages of […]