Stanley Cohen, MD
Rutgers-New Jersey Medical School
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.