Autonomous Cognitive Examination: A Validation Study

Timely diagnosis of dementia is a public health challenge within Canada. It is hoped that machine-learning empowered cognitive examinations might improve Canada’s response to the dementia population. This study proposed the validation of an automated cognitive examination, the Autonomous Cognitive Examination, which uses machine learning to evaluate users to evaluate previously difficult to assess inputs such as complex images or speech. By validating this examination, it will be possible to utilize this Autonomous Cognitive Examination on a large scale, allowing storage of cognitive examination responses to train machine learning algorithms upon, thereby increasing the sensitivity of the test to dementia and even creating diagnostic algorithms for dementia subtypes. The expected benefit to the partner organization is the development of a new industrial partner which will act to develop and administer this cognitive examination.

Faculty Supervisor:

Marcus Ng

Student:

Partner:

North Forge

Discipline:

Life Sciences

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: