Artificial Intelligence Spots Congenital Long QT Syndrome on ECGs

Frank
October 12, 2018
42 Views

Clinical researchers at Mayo Clinic, working with AliveCor, the company that essentially introduced mobile electrocardiography (ECG) to the mass market, have published a study abstract demonstrating that artificial intelligence can be used to spot patients with congenital Long QT Syndrome (LQTS). The readings come from lead 1 of a 12-lead clinical grade ECG, which means that AliveCor’s single lead ECGs, such as the Kardia Band for the Apple Watch, should be able to do the same trick.

Some details according to AliveCor:

Link to abstract: ARTIFICIAL INTELLIGENCE AND DEEP NEURAL NETWORKS CAN IDENTIFY PATIENTS WITH ELECTROCARDIOGRAPHICALLY CONCEALED LONG QT SYNDROME FROM THE SURFACE 12-LEAD ELECTROCARDIOGRAM…

Via: AliveCor…

Frank’s source: https://www.medgadget.com/2018/05/artificial-intelligence-spots-congenital-long-qt-syndrome-on-ecgs.html

 

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