Daniel Chow, MD, MBA

Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine

University of California, Irvine

Speech Title:

Implementing AI for Clinical Use

Abstract:

We live in a digital era where artificial intelligence has disrupted multiple industries, and healthcare is no exception. However, many corresponding health care institutions lack a solid strategy on how best to valuate, deploy, and measure new ‘solutions’ provided by a rapidly growing number of medical AI startups. This discussion aims to describe some of the technical, operational, and clinical challenges healthcare providers and administrators face as it relates to leveraging these novel new technologies and strategies for successful implementation.

Bio:

In his role as Co-Director for the Center for Artificial Intelligence in Diagnostic Medicine (CAIDM) at the University of California, Irvine, Dr. Daniel Chow leads efforts focused on the implantation and validation of novel digital health technologies into patient care settings. This has included deployment of California’s first bedside MRI from Hyperfine as well as automated solutions for stroke detection. More recently, he orchestrated a collaboration between multiple medical specialties, administrators, and scientists to ideate, develop, and implement a solution at UCI Health to triage high-risk COVID-19 patients, which is now being utilized in a Federal Award to evaluate monoclonal antibody therapies.
Dr. Chow completed his medical degree at the University of California. Los Angeles; radiology residency at Columbia University, New York; and neuroradiology fellowship at the University of California, San Francisco. He also serves as an Army Reservist as a Diagnostic Radiologist. Over his career, he has authored/co-authored over 70 peer-reviewed publications, and received numerous scientific and professional awards, including Holman Graduate, ARRS President’s Award, and Poets & Quants. He has served on multiple national and international scientific committees.