ECG Dx©

Automated Diagnosis from Electrocardiographic (ECG) Images.

The development of the tool is described in the work by Sangha V, Khera R, et al. Nature Communications 2022.
This is a research tool and not intended for clinical use.
Copyright: Cardiovascular Data Science (CarDS) Lab, Yale School of Medicine, 2022

Instructions:

• Upload a scanned image of a 12-lead ECG below

• The tool was created for the detection of

  • Atrial Fibrillation

  • Sinus Tachycardia

  • Sinus Bradycardia

  • Left Bundle Branch Block

  • Right Bundle Branch Block

  • First-Degree Atrioventricular Block

• It will report if any of these 6 diagnoses are detected in the uploaded ECG. If none of the following labels are detected, it will output “None of the model diagnoses”.

• The tool is meant only for 12-lead ECGs.

 The details of the tool can be found in the manuscript in Nature Communications