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

This lecture offers the following credit types: CME, P.A.C.E.®
 

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.

Originally published on January 2, 2026

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

Sponsored by:

University of Utah School of Medicine, Department of Pathology, and ARUP Laboratories