Grants and Contributions:

AI-Driven Decision Support System for Clinical Electroencephalography (EEG) and Medical Records

988617

$495,000.00

Mar 30, 2022 - Mar 31, 2025

Artificial Intelligence (AI) is quickly penetrating healthcare, but the routine neurological assessment of patients at the primary point of care is still missing AI-enhanced neurologist-like approaches to deal with the complexity of all its data. Developing such AI tools is the focus of the Project, which seeks to address the primary question of whether a novel state-of-the-art machine learning approach, applied to routine clinical EEGs recorded in hospital, can support a more accurate diagnosis with higher efficiency for all categories of patients requiring neurological assessment at the primary point of care. The team will develop a prototype system to support experts in reviewing EEG data. The novel system will utilize state-of-the-art AI methods to identify key diagnostic and outcome-predictive features in the EEG data. The aim is to design AI systems to enhance workflow in data-intensive and time-sensitive settings.

National Research Council Canada

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Burnaby, British Columbia, CA V5A 1S6

172-2021-2022-Q4-988617

Grant

Grants and Contributions

118520725

Academia

Simon Fraser University

Burnaby North–Seymour

59002

Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

541710