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BMC Pregnancy and Childbirth
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Open Access 01-12-2024 | Ventricular Septal Defect | Research

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

Authors: Furong Li, Ping Li, Zhonghua Liu, Shunlan Liu, Pan Zeng, Haisheng Song, Peizhong Liu, Guorong Lyu

Published in: BMC Pregnancy and Childbirth | Issue 1/2024

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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 doctors, and senior doctors.

Results

The mAP@0.5, precision, recall, and F1 scores for the AI model diagnosis of VSD were 0.926, 0.879, 0.873, and 0.88, respectively. The accuracy of junior doctors and intermediate doctors improved by 6.7% and 2.8%, respectively, with the assistance of this system.

Conclusions

This study reports an AI-assisted diagnostic method for VSD that has a high agreement with manual recognition. It also has a low number of parameters and computational complexity, which can also improve the diagnostic accuracy and speed of some physicians for VSD.
Appendix
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Metadata
Title
Application of artificial intelligence in VSD prenatal diagnosis from fetal heart ultrasound images
Authors
Furong Li
Ping Li
Zhonghua Liu
Shunlan Liu
Pan Zeng
Haisheng Song
Peizhong Liu
Guorong Lyu
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Pregnancy and Childbirth / Issue 1/2024
Electronic ISSN: 1471-2393
DOI
https://doi.org/10.1186/s12884-024-06916-y

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Keynote series | Spotlight on menopause

Menopause can have a significant impact on the body, with effects ranging beyond the endocrine and reproductive systems. Learn about the broader systemic effects of menopause, so you can help patients in your clinics through the transition.

Launching: Thursday 12th December 2024
 

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Dr. Samar El Khoudary
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