Using artificial intelligence to predict post-operative outcomes in congenital heart surgeries: a systematic review

Abstract Introduction Congenital heart disease (CHD) represents the most common group of congenital anomalies, constitutes a significant contributor to the burden of non-communicable diseases, highlighting the critical need for improved risk assessment tools. Artificial intelligence (AI) holds promi...

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Hlavní autoři:	Ida Mohammadi, Shahryar Rajai Firouzabadi, Melika Hosseinpour, Mohammadhosein Akhlaghpasand, Bardia Hajikarimloo, Sam Zeraatian-Nejad, Peyman Sardari Nia
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2024-12-01
Edice:	BMC Cardiovascular Disorders
Témata:	Artificial Intelligence Machine Learning Cardiac Surgery Congenital Heart Defects
On-line přístup:	https://doi.org/10.1186/s12872-024-04336-6
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