Why the study?
Does a deep learning electrocardiogram algorithm accurately detect left ventricular systolic dysfunction in an external validation cohort?
Does a deep learning electrocardiogram algorithm accurately detect left ventricular systolic dysfunction in an external validation cohort?
An AI-ECG algorithm demonstrated robust performance in detecting left ventricular systolic dysfunction in an external validation cohort, though population-specific cut-offs may be required.
Should not yet change LVSD screening practice; extends external validation but leaves clinical utility open.
The AI-ECG detected LVSD with robust test performance in a population that was very different from that used to develop the algorithm. Population-specific cut-offs may be necessary for clinical implementation. Differences in population characteristics, ECG and echocardiographic data quality may affect test performance.
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Attia et al. (2021) studied this question.
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