Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples @ Clark Center S360
February 19, 2020 @ 2:00 pm – 3:00 pm
2020-02-19T14:00:00-08:00
2020-02-19T15:00:00-08:00
Clark Center S360
318 Campus Drive
Contact:
Ramzi Totah
6507214161

Tessa Cook, MD, PhD
Assistant Professor of Radiology
Perelman School of Medicine
University of Pennsylvania

Title: Deploying AI in the Clinical Radiology Workflow: Challenges, Opportunities, and Examples

Abstract: Although many radiology AI efforts are focused on pixel-based tasks, there is great potential for AI to impact radiology care delivery and workflow when applied to reports, EMR data, and workflow data. Radiology-pathology correlation, identification of follow-up recommendations, and report segmentation can be used to increase meaningful feedback to radiologists as well as to automate tasks that are currently manual and time-consuming. When deploying AI within the clinical workflow, there are many challenges that may slow down or otherwise affect the integration. Careful consideration of the way in which radiologists may expect to interact with AI results should be undertaken to meaningfully deploy radiology AI in a safe and effective way.