P. Jone, A. Gearhart, Howard Lei, Fuyong Xing, J. Nahar, F. Lopez-jimenez, G. Diller, A. Marelli, Laura Wilson, A. Saidi, David J. Cho, A. Chang
2022.12.1JACC: Advances
tlooto Summary
This document is a call to action and will describe the current state of artificial intelligence in congenital heart disease, review challenges, discuss opportunities, and focus on the top priorities of artificial intelligence–based deployment in congenital heart disease.
Abstract
The current era of big data offers a wealth of new opportunities for clinicians to leverage artificial intelligence to optimize care for pediatric and adult patients with a congenital heart disease. At present, there is a significant underutilization of artificial intelligence in the clinical setting for the diagnosis, prognosis, and management of congenital heart disease patients. This document is a call to action and will describe the current state of artificial intelligence in congenital heart disease, review challenges, discuss opportunities, and focus on the top priorities of artificial intelligence–based deployment in congenital heart disease.
Citation format
JONE, P., et al. Artificial intelligence in congenital heart disease. JACC: Advances, 2022, 1.