Pregnancy
AI cardiovascular screening could identify heart dysfunction in women considering pregnancy

A new study has evaluated the performance of an AI enabled electrocardiogram (AI-ECG) and an AI-powered digital stethoscope to see how well they could detect early signs of heart dysfunction in women of reproductive age.
In this cross-sectional pilot study, researchers examined two groups of women aged 18 to 49 who were considering pregnancy. Women who were currently pregnant or within one year postpartum were also included.
The first group included 100 women already scheduled for an echocardiogram. The second group of women with no indication for an echocardiogram were seen at a primary care appointment for routine care.
All participants received two tests: a standard 10-second 12-lead electrocardiogram (ECG) and a digital stethoscope recording that captured a 15-second, single-lead ECG and phonocardiogram (heart sounds) from up to three locations on the chest.
AI models analysed the ECG and stethoscope recordings to estimate each participant’s risk of having left ventricular systolic dysfunction (LVSD), a type of heart dysfunction.
The results showed that, for Group 1 (diagnostic cohort, women scheduled for echocardiograms), 5 per cent of women had LVSD. The AI-ECG showed a negative predictive value of 96.8 per cent and the AI-stethoscope achieved 100 per cent.
Among women who screened positive using the AI tools, 33.3 per cent (using the AI-ECG) and 22.7 per cent (using the AI-stethoscope) truly had LVSD.
In Group 2 (screening cohort, women seen during routine primary care visits), using the AI-ECG, only 1 per cent of women in this low-risk sample screened positive. A follow-up echocardiogram in that patient showed a normal ventricular ejection fraction. With the AI-stethoscope, 3.2 per cent of the sample had a positive screen.
The findings from this study highlight the potential of quick, low-cost AI tools to help detect early signs of heart dysfunction during regular primary care visits.
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