Background
Prenatal echocardiographic assessment of fetal cardiac function has
become increasingly important. Fetal two-dimensional speckle-tracking
echocardiography (2D-STE) allows the determination of global and
segmental functional cardiac parameters. Prenatal diagnostics is relying
increasingly on artificial intelligence, whose algorithms transform the
way clinicians use ultrasound in their daily workflow. The purpose of
this study was to demonstrate the feasibility of whether less
experienced operators can handle and might benefit from an automated
tool of 2D-STE in the clinical routine.