Heart disease is the leading cause of death [1] globally, and most people do not know they have cardiovascular disease until they suffer a heart attack or stroke. Early detection currently relies on routine checkups, electrocardiograms, stress tests, echocardiograms and blood tests, but these diagnostic methods may not be universally accessible to low- and middle-income families.

Siddarth Nandyala, a 14-year-old from Texas, invented an application called Circadian AI for smartphones that can pinpoint cardiovascular abnormalities early in their development. To build the app, Nandyala collected data from various hospitals and institutions, thus constructing a robust artificial intelligence (AI) model.

App users are directed to place their smartphones near the heart so the device can record the sound of heartbeats. This real-time data is then compared to the AI model, leading to an analysis of the user’s cardiac health and recommended medical interventions.

A pre-screening phase conducted on more than 18,000 patients in the United States and India yielded a remarkable 96 percent success rate in the detection of heart abnormalities. Nandyala is currently in the process of securing regulatory approvals in the U.S., India and other countries.