Artificial Intelligence and Anatomical Pathology: Feasibility for Clinical Practice
Mon, 26 Oct 2020


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



- last updated September 2020 -