The protocol for the review was prospectively registered at PROSPERO (CRD42020186672). A comprehensive literature search in the PubMed, CINAHL, Wiley Cochrane Library, and Web of Science electronic databases was performed to identify relevant articles published until March 31, 2020. The search strategy was (“Artificial Intelligence [Mesh]” OR “Artificial intelligence” OR “AI” OR (((“Machine”) OR (“Deep”) OR (“Ensemble machine”)) AND (“Learning”)) OR “Processing” OR (((“Supervised”) OR (“unsupervised”)) AND “learning”)) OR “Neural network*”) AND (“Heart Defects, Congenital [Mesh]” OR (((“ventric*”) OR (Atri*) OR (sept*)) AND (“defect”)) OR “tetralogy” OR (((“pulmonary”) OR (“tricuspid”)) AND (“atresia”)) OR “patent ductus” OR “transposition” OR (((“pulmonary”) OR (“aortic”)) AND (“stenosis”)) OR “Ebstein anomaly” OR “coarctation of aorta” OR “hypoplastic left heart” OR “truncus arteriosus”). All records were imported to Endnote X9 for management and duplicate records were deleted. Two authors (ZH and UJ) independently screened titles and abstracts to assess for potential eligibility. Full texts of all screened studies were reviewed for final selection. Titles of excluded literature along with the reason for exclusion were recorded. We followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines for diagnostic test accuracy for analysis reporting in this publication (McInnes et al., 2018).

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