Does a convolutional neural network accurately predict low left ventricular ejection fraction from the ECG across different racial groups despite baseline ECG variations?
A convolutional neural network can predict low LVEF from ECGs without performance degradation across different racial groups, highlighting the importance of evaluating AI tools in diverse populations.
Our study demonstrates that while ECG characteristics vary by race, this did not impact the ability of a convolutional neural network to predict low left ventricular ejection fraction from the ECG. We recommend reporting of performance among diverse ethnic, racial, age, and sex groups for all new artificial intelligence tools to ensure responsible use of artificial intelligence in medicine.
Noseworthy et al. (Sun,) studied this question.