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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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Principais autores: Ida Mohammadi, Shahryar Rajai Firouzabadi, Melika Hosseinpour, Mohammadhosein Akhlaghpasand, Bardia Hajikarimloo, Sam Zeraatian-Nejad, Peyman Sardari Nia
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-12-01
Serier:BMC Cardiovascular Disorders
Fag:
Artificial Intelligence
Machine Learning
Cardiac Surgery
Congenital Heart Defects
Online adgang:https://doi.org/10.1186/s12872-024-04336-6
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