We are developing state-of-the-art tools for the accessible and automated detection of cardiovascular diseases from ubiquitously available diagnostic modalities. Our deep learning models have demonstrated the ability to accurately detect cardiovascular conditions using electrocardiogram (ECG) images. Our model for the detection of left ventricular systolic dysfunction using ECG images is currently under prospective validation for use as a screening modality.
