Jun 16, 2021 12:00 PM Eastern Time (US and Canada)
Promising results in basic AI research have shown the potential utility of AI algorithm within digital pathology – But what is needed to bring AI the last mile to clinical utility? In this webinar, you will learn how AI algorithms tend to behave from non-technical point of view and what are some ways that we can deal with that in a clinical setting.
At the end of the session, participants will be able to:
- Learn about how and why AI algorithms fail
- Design patterns for AI implementation
- Implement AI in pathology
Jesper Molin, Senior Research Scientist
Karin Stacke, Research Engineer
Host: Anna Plotkin, OAP President
Target audience: Pathologists, Resident, Medical Student, Pathologists’ Assistants
CanMEDS Roles: Medical Expert, Communicator, Collaborator, Leader, Professional
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 CAP-ACP.
This webinar was co-developed with Sectra and OAP and was planned to achieve scientific integrity, objectivity and balance.
Jesper Molin is a Senior Research Scientist and Research Area Manager for digital pathology at Sectra and holds a PhD in Human-Computer Interaction (HCI). He has been working with digital pathology research since 2012 and especially interested in pathologists’ diagnostic problem solving and how HCI and visualization research can help AI adoption.
Karin Stacke is a third year PhD Student at Sectra, with a M.Sc. in Medical Image Analysis and Visualization. Before joining the Research department, she worked as a software engineer on Sectra’s digital pathology solution. Her current research focuses on how to build robust and generalizable AI systems for histopathology applications.