Key result
Artificial intelligence remains significantly underutilized in clinical care for congenital heart disease.
Why the study?
Artificial intelligence is currently significantly underutilized in the clinical setting for the diagnosis, prognosis, and management of congenital heart disease patients despite the opportunities offered by big data.
Highlights the underutilization of artificial intelligence in congenital heart disease and outlines priorities for its future deployment.
AI underutilization in congenital heart disease warrants clinical caution; leaves open priorities for prospective validation and deployment research.
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.
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Jone et al. (2022) conducted a review in Congenital heart disease. Artificial intelligence was evaluated. Artificial intelligence remains significantly underutilized in the clinical setting for the diagnosis, prognosis, and management of pediatric and adult patients with congenital heart disease.
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