Symposium: Deep Learning and Artificial Intelligence in Pathology

Symposium: Deep Learning and Artificial Intelligence in Pathology

Thursday, April 29, 2021 • 2:00 PM - 5:00 PM (EST)

 

Stanley Cohen, MDChair
Stanley Cohen, MD
Rutgers-New Jersey Medical School

John Tomaszewski, MDCo-Chair
John Tomaszewski, MD
University of Buffalo School of Medicine

Session Description: The use of artificial intelligence has become ubiquitous in many aspects of human endeavor including medicine. In particular, Pathology is well-positioned to take advantage of this methodology both because of our heavy reliance on large amounts of laboratory data and the need for high level image interpretation. This session will begin with an overview of the underlying mechanisms of artificial intelligence and deep learning, followed by examples of the implementation of AI in solving problems such as tumor grading, interactions between tumors and the host’s immune response, with the ultimate aim of prognostic prediction. The session will conclude with progress in the fusion of multiple pathology data streams via AI-based strategies.

  • Chair - Welcome and Introductions
  • 2:00 PM - 2:35 PM
    Data Analytics Comes of Age
    John Tomaszewski, MD • University of Buffalo School of Medicine
  • 2:35 PM - 3:10 PM
    AI 101: What is AI and How are It’s Algorithmic Strategies Implemented?
    Stanley Cohen, MD • Rutgers-New Jersey Medical School
  • 3:10 PM - 3:45 PM
    Deep Learning based Pathomic Biomarkers
    Joel Saltz, MD • Stony Brook Medicine
  • 3:45 PM - 4:20 PM
    TBD
  • 4:20 PM - 4:55 PM
    Deep Leaning Driven Data Fusion as Pathology’s New Frontier
    John Tomaszewski, MD • University of Buffalo School of Medicine
  • Summary
    Stanley Cohen, MD • Rutgers-New Jersey Medical School