Background: To evaluate the application value of artificial intelligence-based auxiliary diagnosis for congenital heart disease.
Methods: From May 2017 to December 2019, 1892 cases of congenital heart disease heart sounds were collected for learning- and memory-assisted diagnosis. The diagnosis rate and classification recognition were verified in 326 congenital heart disease cases.