The Rise, Hype, and Reality of AI in Diagnostic Pathology

The continued decline in the number of pathologists despite increasing demands, highlights the value proposition for digital pathology. This presentation describes the challenges, benefits, and future opportunities in development, validation, and implementation of artificial intelligence (AI) in diagnostic pathology and provides recommendations to pathologists for responsible use of AI.

Lecture Presenter
Beatrice Knudsen, MD, PhD
Beatrice Knudsen, MD, PhD
Professor (Clinical), University of Utah School of Medicine
Pathologist, ARUP Laboratories

Dr. Beatrice Knudsen is a medical director of computational pathology at ARUP Laboratories and a professor (clinical) at the University of Utah School of Medicine. Dr. Knudsen received both her doctorate and medical degrees from Weill Cornell Medical School. She completed a residency at the New York Hospital before completing a laboratory research fellowship at Rockefeller University. Dr. Knudsen is board certified and the recipient of the Creativity Award from the Prostate Cancer Foundation. She specializes in genitourinary pathology, and her research interests include mechanisms of cancer metastases and biomarker development.

Objectives

After this presentation, participants will be able to:

Define what AI readiness means in diagnostic pathology
Demonstrate how AI algorithms help pathologists
Demonstrate applications of AI specific to GI pathology