IMPORTANT NOTE: 12/1/21 Pathology Grand Rounds will be ONLINE ONLY.
David Rogers, B.E.E., M.D. Assistant Professor Department of Laboratory Medicine & Pathology University of Washington VAHCS Puget Sound Objectives: - Define and differentiate the concepts of machine learning (ML) and augmented intelligence (AI)
- Predict how ML and AI may be used in the future practice of anatomic pathology
- Understand some of the challenges (technical, regulatory, economic, ethical) to deploying machine learning and augmented intelligence in anatomic pathology
Speaker disclosures: Dr. David Rogers has NOT had any financial relationships with any ineligible entities within the past 24 months.
Why Attend? I frequently conduct informal discussions with our residents as to how and why they came to the specialty of pathology, and a frequent comment that I hear is that current medical students are concerned about the long-term viability of the field given the seeming threat posed by advances in information technology. While the recent years have seen developments in machine learning that were would have been inconceivable even a decade ago, I believe that the specialty of pathology will not only survive, but thrive. In my talk, I will use my experiences with an early implementation of machine learning and augmented reality as a gateway into a discussion of how clinical practice, research and regulation is likely to change, and what is likely to remain the same.
Meeting ID: 931 1873 4050
Passcode: PGR2122You must sign-in on the following form to receive CME credit. Sign-in online: https://forms.gle/W2oE8d3MYbnyTDe58
Planning Committee Disclosure: The following members have not had any financial relationships with any ineligible entities in the past 24 months: Drs. Rebecca Alvarez, Eleanor Chen, Lisa Koch, Jose Mantilla, Elizabeth Parker, Maria Tretiakova, Larry True, James Malleis, and Trent Irwin. The following members disclose financial relations with ineligible entities within the past 24 months: Dr Shreeram Akilesh discloses a financial relationship (speaker honorarium) with GoldfinchBio, Inc.; Dr. Haodong Xu discloses a financial relationship with PathomIQ (consultant). All relevant financial relationships listed have been mitigated.
Grant Acknowledgment: None
CME Accreditation statement: The University of Washington School of Medicine is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The University of Washington School of Medicine designates this live activity for a maximum of 10.0 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity. (Each session is 1.0 credit) |