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AI Tools Can Predict Left Ventricular Dysfunction in Women of Reproductive Age

By Elana Gotkine HealthDay Reporter

Medically reviewed by Carmen Pope, BPharm. Last updated on May 14, 2025.

via HealthDay

WEDNESDAY, May 14, 2025 -- Artificial intelligence (AI) tools are effective for detecting left ventricular systolic dysfunction (LVSD) among women of reproductive age seen in primary care, according to a study published online in the March/April issue of the Annals of Family Medicine.

Anja Kinaszczuk, D.O., from the Mayo Clinic in Jacksonville, Florida, and colleagues enrolled 100 women aged 18 to 49 years who had a primary care physician and a scheduled echocardiography at Mayo Clinic Florida (cohort 1) in a pilot cross-sectional study. On the date of echocardiography, 12-lead electrocardiography (ECG) and digital stethoscope recordings were performed. Probabilities for LVSD, defined as left ventricular ejection fraction <50 percent, were generated using deep learning for the 12-lead ECG and stethoscope (AI-ECG and AI-stethoscope) recordings. The prevalence of positive AI screening results when deployed for routine use was estimated in a second cohort of 100 participants seen in primary care (cohort 2).

In cohort 1, 5 percent had LVSD. The researchers found that the area under the curve was 0.94 and 0.98 for AI-ECG and AI-stethoscope (maximum prediction across all chest locations), respectively, for predicting LVSD. The prevalence of a positive AI screen was 1 percent for AI-ECG and 3.2 percent for AI-stethoscope in cohort 2.

"The use of AI-ECG and the AI-stethoscope appear to be effective in screening for LVSD among women of reproductive potential in a primary care clinic setting. These tools offer a rapid and cost-effective solution for preconception cardiovascular screening," the authors write.

The Mayo Clinic has licensed the 12-lead electrocardiography technology to Eko Devices and to Anumana and may derive financial benefit from use of this technology.

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Disclaimer: Statistical data in medical articles provide general trends and do not pertain to individuals. Individual factors can vary greatly. Always seek personalized medical advice for individual healthcare decisions.

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