Application of artificial intelligence in VSD prenatal diagnosis from fetal heart ultrasound images.

ABSTRACT:

Background

Developing a combined artificial intelligence (AI) and ultrasound imaging to provide an accurate, objective, and efficient adjunctive diagnostic approach for fetal heart ventricular septal defects (VSD).

Methods

1,451 fetal heart ultrasound images from 500 pregnant women were comprehensively analyzed between January 2016 and June 2022. The fetal heart region was manually labeled and the presence of VSD was discriminated by experts. The principle of five-fold cross-validation was followed in the training set to develop the AI model to assist in the diagnosis of VSD. The model was evaluated in the test set using metrics such as mAP@0.5, precision, recall, and F1 score. The diagnostic accuracy and inference time were also compared with junior doctors, intermediate do

SUBMITTER: Li F 

PROVIDER: S-EPMC11568577 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature