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Stakeholders’ Perspectives: How Artificial Intelligence (AI) can and should be used in healthcare

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This webinar will introduce the role of artificial intelligence as a diagnostic, treatment and preventative tool in the future of Canada’s health system. You’ll hear from a diverse range of stakeholders and experts as they share their perspective on how we can leverage AI in healthcare and discuss the key considerations for its adoption. Panelists will also discuss the impact that COVID-19 has had on innovation in healthcare and how it supports moving toward a more data-driven healthcare system.

Speaker Panel:
Host
Dr. Alexandra Greenhill 
Founder, CEO, Chief Medical Officer, CareTeam Technologies

Panelists
1. Annette McKinnon - Patient Advisor, Patient Advisors Network
2. Dr. Reza Forghani - Director and Lead Investigator, Augmented Intelligence & Precision Health Laboratory, McGill University Health Centre
3. Mary Ackenhusen - Senior Executive in Residence, and Lead, Partnerships and Innovation Division, British Columbia Ministry of Health
4. Dr. Tracie Risling - Interim Associate Dean, Research and Graduate Studies in the College of Nursing, University of Saskatchewan
5. Dr. Brendan Carr – President and CEO, Nova Scotia Health Authority
6. Dr. Richard Reznick - Professor of Surgery and Dean Emeritus, Faculty of Health Sciences, Queen's University, and Chair, Royal College of Physicians and Surgeons of Canada’s Task Force on AI and Emerging Digital Technologies

Activities

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Featured project

Intraoperative analgesic treatment decisions based on the NOL index: contribution of a data-based approach to improve accuracy and relevance

Student member : Marzieh Ghiyasinasab

This research project is based on the analysis of massive data on the NOL index and other intraoperative clinical parameters used by anesthesiologists during surgery. These parameters help them make analgesic treatment decisions in a non-communicating patient under general anesthesia and in whom it is impossible to assess pain and analgesic needs by standard questionnaires performed on awake patients. 
First, the objective is to interpret the values of this index in relation to the decisions made by the clinician. 

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