IBIIS & AIMI Seminar: Going Beyond What is Humanly Possible: Machine Learning for Clinical Pathology

March 17, 2021 @ 12:00 pm – 1:00 pm
2021-03-17T12:00:00-07:00
2021-03-17T13:00:00-07:00
ZOOM: https://stanford.zoom.us/j/92252635957?pwd=cnNrSUZqOEphZjNrUlVFQm9zeFZ1dz09
Cost:
Free
Contact:
Ramzi Totah
16507214161

Geert Litjens, PhD
Assistant Professor in Computational Pathology
Department of Pathology
Radboud University Medical Center

Title: Going Beyond What is Humanly Possible: Machine Learning for Clinical Pathology

Abstract: Machine learning advances in the past decade have revolutionized computer vision, and have since also made their way into medical imaging. Although many associate medical imaging with radiology first, clinical pathology might be more significantly impacted, at least in the short term by machine learning. Partly due to the simultaneous advent of machine learning in medicine and digital pathology, but perhaps mostly because in pathology achieving inhuman feats is surprisingly low-hanging fruit. In this presentation, I will give some examples analog to radiology, then illustrate some superhuman applications. Subsequently, I will highlight our current limitations and possible future research directions.