As a precursor to the 2020 National Health Symposium, the Johns Hopkins Applied Physics Laboratory is hosting a virtual event exploring Operationalizing AI in Health on April 21.

Event: Operationalizing AI in Health

Date: April 21, 2020

Time: 3:00pm ET – 4:30pm ET

Location: Online

This 90-minute event will bring together partners in the community – federal government, Department of Defense, academia and industry – to explore the role of AI in real-world health care settings. Experts will discuss scenarios, case studies and the challenges of operationalizing AI, including those associated with responding to the current COVID-19 pandemic.

The event is organized by APL’s National Health Mission Area. It will feature Sezin Palmer, National Health Mission Area Executive, discussing APL’s envision future for health; and Ashley Llorens, chief of the Intelligent Systems Center at APL, discussing AI in Healthcare

Adam Cohen, MD, Health Technologies program manager for APL’s National Health Mission Area, will moderate a discussion the challenges of operationalizing AI in health. Panel members include:

• Jeremy C. Pamplin, MD, Director, Telemedicine and Advanced Technology Research Center; and Associate Professor of Medicine & Associate Professor of Military/Emergency Medicine, The Uniformed Services University of the Health Sciences
• Gioel Molinari, President, Butterfly Network
• M. Brandon Westover, MD, Director, Massachusetts General Hospital's Data Animation Center & Critical Care EEG Monitoring Service

The event will also feature an interview about an interactive, Web-based dashboard created by a small team at Johns Hopkins University in Baltimore that has become one of the world's most authoritative sources for the latest coronavirus numbers and trends.

Conducted by Erin Hahn, a national security analyst at the Laboratory, the interview will feature Lauren Gardner, associate professor of civil and systems engineering at Johns Hopkins University and architect of the JHU COVID-19 Dashboard; and APL's Aaron Katz, who leads a team of data analysts at the Laboratory supporting the dashboard.