Key result
Deep learning ultrasound platform screens pregnant women for CHD and fetal ectasia.
Why the study?
Heart disease complicates pregnancy and increases morbidity and mortality for both mother and fetus, requiring familiarization with maternal cardiac diagnosis and multidisciplinary management.
Does a deep learning algorithm improve screening for congenital heart disease and fetal ectasia in pregnant women?
Does a deep learning algorithm improve screening for congenital heart disease and fetal ectasia in pregnant women?
A deep learning platform is proposed to assist in interpreting ultrasound data for screening congenital heart disease and fetal ectasia in pregnant women.
Does not support routine use of deep learning cardiac screening in pregnancy; leaves open prospective validation with performance metrics.
The main objective of this study is to acquaint participants with the procedure for diagnosing maternal cardiac disease and the function of a multidisciplinary team in its management. Heart failure, arrhythmias, and a worsening of the heart condition can all complicate pregnancy and raise the risk of morbidity and mortality for both the mother and the foetus. The doctor may now provide both normal and specialised care during pregnancy thanks to the availability of specialised guidelines on pregnancy and heart disease in the last 10 years. Rely only on deep learning (DL) for screening pregnant women in the second trimester for congenital heart disease (CHD) and foetal ectasia. This ground breaking research not only targets FE in the first trimester but also develops a revolutionary information system platform with a number of tools for interpreting common ultrasound data, making it innovative and groundbreaking. This gives the project its uniqueness and ingenuity.
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Magesh et al. (2026) studied Maternal cardiac disease, congenital heart disease (CHD), and foetal ectasia. Deep learning algorithm and information system platform was evaluated on Screening for congenital heart disease (CHD) and foetal ectasia. A deep learning-based information system platform was developed to screen pregnant women for congenital heart disease and foetal ectasia using ultrasound data.
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