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Data for AI in Congenital Heart Defects: Systematic Review. | LitMetric

Data for AI in Congenital Heart Defects: Systematic Review.

Stud Health Technol Inform

Core Unit eHealth and Interoperability, BIH at Charité, Berlin, Germany.

Published: August 2024

AI Article Synopsis

Article Abstract

Congenital heart disease (CHD) represents a significant challenge in prenatal care due to low prenatal detection rates. Artificial Intelligence (AI) offers promising avenues for precise CHD prediction. In this study we conducted a systematic review according to the PRISMA guidelines, investigating the landscape of AI applications in prenatal CHD detection. Through searches on PubMed, Embase, and Web of Science, 621 articles were screened, yielding 28 relevant studies for analysis. Deep Learning (DL) emerged as the predominant AI approach. Data types were limited to ultrasound and MRI sequences mainly. This comprehensive analysis provides valuable insights for future research and clinical practice in CHD detection using AI applications.

Download full-text PDF

Source
http://dx.doi.org/10.3233/SHTI240537DOI Listing

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