In a study conceived by Mayo Clinic investigators it was found that Artificial Intelligence may offer a new way of detecting if a person has contracted Covid-19. Researchers found that the Covid-19 virus creates small electrical changes in the heart that Artificial Intelligence (AI) can detect and be used for a new form of a rapid, reliable test. Since Covid-19 has a 10-14 day incubation period, symptoms take long periods of time to show up. Once patients do show symptoms it is hard to access a reliable Covid test with fast results. An Artificial Intelligence enhanced EKG is a rapid and cost effective alternative for Covid testing.
This study was done on a racially diverse population of volunteers from 14 different countries. Patients selected had previous EKG data from when they were diagnosed with Covid-19. This data was compared with the EKG data of patients not infected by Covid-19. AI was then trained to detect the subtle changes in the heart by more than 26,000 EKG’s and tested on 7,800 EKG’s that were not previously used. The prevalence of Covid-19 was about 33% and the accuracy of the negative predictive value of the AI was about 99.2%.
For any form of Covid test, accuracy is the most important value. The study shows the consistency of biological signals in the EKG and the Covid-19 infection. To confirm that Artificial Intelligence will be a helpful factor in our fight against the pandemic, this study needs to be tested on asymptomatic people.
In AP biology class this year, my class has learned about sending signals between cells. A heartbeat happens when the SA node (pacemaker of the heart) sends out an electrical impulse.The upper chambers of the heart contract and the AV node sends an impulse into the ventricles.The lower heart chambers then contract and the cycle starts over again.