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Artificial Intelligence in Congenital Heart Disease

Pei‐Ni Jone, Addison Gearhart, Howard Lei, Fuyong Xing, Jai Nahar, Francisco Lopez‐Jimenez, Gerhard‐Paul Diller, Ariane Marelli, Laura Wilson, Arwa Saidi, David Cho, Anthony Chang

2022JACC Advances55 citationsDOIOpen Access PDF

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.

Topics & Concepts

Heart diseaseLeverage (statistics)DiseaseMedicineSoftware deploymentIntensive care medicineArtificial intelligenceCardiologyComputer scienceInternal medicineOperating systemCongenital Heart Disease StudiesCardiovascular Function and Risk FactorsArtificial Intelligence in Healthcare and Education
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