Building CRADLE: the Cardiovascular and Radiologic Deep Learning Environment

November 29, 2022, 12:00 pm — 1:00 pm

Due to the COVID-19 outbreak, this seminar will be running via Zoom.

Join the Zoom Meeting: Please contact Becky Light at light@wustl.edu for the zoom link.

The Institute for Informatics (I2) and the Division of Pulmonary & Critical Care Medicine are co-organizing the Symposium for Artificial Intelligence in Medicine (SAIM) seminar series. This symposium is designed to be a forum for the discussion of revolutionary healthcare technologies and the ongoing development of innovative healthcare technologies across our campuses, with the goal of uniting people with similar interests and fostering collaboration and growth. We welcome clinicians and trainees from all backgrounds and at all levels who are interested in learning more about translational artificial intelligence, machine learning and healthcare information technology. This Fall, our second seminar will be delivered by Dr. Pierre A. Elias, on November 29, 2022.

Pierre A. Elias is an Assistant Professor in the Division of Cardiology and the Department of Biomedical Informatics at Columbia University Irving Medical Center, where he practices as a general cardiologist. He is also the Medical Director for Artificial Intelligence at NewYork-Presbyterian. He performs cutting edge research in the development of machine learning technologies for medical imaging to improve the detection and management of cardiovascular disease.

Dr. Elias received his medical degree at Duke University School of Medicine. He completed his residency in Internal Medicine and fellowship in Cardiovascular Disease at New York-Presbyterian/Columbia University Irving Medical Center through the Clinician-Scientist Pathway. He has been named a STAT News highlighting 20 of the most innovative junior researchers in the country and has received the Emerging Generation Award from the American Society of Clinical Investigation. He was previously a data scientist at Lumiata, helping develop Google’s Knowledge Graph for Health.

Have questions about the Symposium for Artificial Intelligence in Medicine (SAIM) seminar series? Please contact Becky Light, Special Program Administrator in the Division of Pulmonary & Critical Care Medicine within the Department of Medicine.