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Artificial Intelligence and Anatomical Pathology: Feasibility for Clinical Practice
At the end of the activity, participants will be able to:

1. Provide an overview of machine and deep learning methods in Artificial Intelligence (AI).
2. Discuss the applications, benefits and barriers of using AI in Anatomical Pathology.
3. Share lessons learned from developing, deploying and validating such AI algorithms.

Target audience: Pathologists, Residents, Medical Students, Pathologists' Assistants, Laboratory Scientists.

CanMEDS Roles: Medical Expert (the integrating role), Collaborator, Leader, Health Advocate, Scholar

Speaker: Dr. Liron Pantanowitz, Professor, Department of Pathology and the Director of Anatomical Pathology, University of Michigan, Ann Arbor, MI, USA

This event is an Accredited Group Learning Activity (Section 1) as defined by the Maintenance of Certification Program of the Royal College of Physicians and Surgeons of Canada and approved by the Canadian Association of Pathologists. You may claim a maximum of 1.0 hour (credits are automatically calculated).

Oct 26, 2020 03:00 PM in Eastern Time (US and Canada)

Webinar is over, you cannot register now. If you have any questions, please contact Webinar host: Heather Dow.