Interpreting Wide-Complex Tachycardia With the Use of Artificial Intelligence.

Background: Adopting artificial intelligence (AI) in medicine may improve speed and accuracy in patient diagnosis. We sought to develop an AI algorithm to interpret wide-complex tachycardia (WCT) electrocardiograms (ECGs) and compare its diagnostic accuracy with that of cardiologists.

Methods: Using 3330 WCT ECGs (2906 supraventricular tachycardia [SVT] and 424 ventricular tachycardia [VT]), we created a training/validation (3131) and a test set (199 ECGs).

Diabetes mHealth Apps: Designing for Greater Uptake.

mHealth apps are not being used. Over 45,000 mhealth apps are languishing in mobile app stores. We evaluated over 200 diabetes mobile apps found in the Apple and Google app stores using a framework that we recently published.