Improvement of diagnostic efficiency in fetal congenital heart disease using fetal intelligent navigation echocardiography by less‐experienced operators

Abstract

Congenital cardiac malformations are the most common organspecific birth defects, and congenital heart disease (CHD) caused by congenital heart malformations is the main cause of infant death. 1 A prenatal diagnosis of cardiac anomalies play an important role in preoperative status, 2 neurologic prognosis, 3 and postoperative survival. 4 However, the accuracy of a prenatal diagnosis of CHD is challenging, and fetal echocardiography sensitivity is reportedly 15%-39%. 5 Two-dimensional echocardiography depends on the operator's skills and experience. Extensive training of operators can help

AI Applications in Pediatrics: Past, Present, and Future

“…Accurate echocardiograms depend heavily on the operator, but images can be automated and enhanced by AI. Fetal intelligent navigation echocardiography (FINE) is a system that uses spatiotemporal image correlation (STIC) to assist with the prenatal diagnosis of CHD [22]. STIC is relatively new and analyzes images after they are obtained.…”

“…In a study by Chen et al, they reviewed how FINE could assist inexperienced and experienced operators compared to traditional echocardiography. Their study illustrated that the diagnostic accuracies using FINE was 81.66% for inexperienced and 87.50% for experienced operators, whereas for traditional the accuracies respectively were 16.66% and 84.16% [22]. These results are significantly different and illustrate that FINE is beneficial for novel operators in determining prenatal diagnoses for CHD.…”