Indian 14-year-old software developer Siddharth Nandyal has created an innovative mobile application called Circadian AI that can detect heart disease in seconds, Smithsonian Magazine reports.
Cardiovascular disease is one of the leading causes of death worldwide, but its early symptoms often go unnoticed. This is because diagnosing symptoms usually requires expensive procedures or complex tests that are not available to many patients, especially in poor countries. Nandyala set out to change that by developing an affordable and non-invasive diagnostic method.
The Circadian AI app uses a smartphone microphone to record a patient’s heartbeat. The resulting audio is processed using noise-canceling technology and then analyzed in the cloud using machine learning algorithms. In just a few seconds, the app can detect arrhythmia, heart valve problems, early signs of heart failure or coronary artery disease.
The application has already undergone clinical trials: in the US it was tested on 15 thousand patients, and in India on 3.5 thousand. The accuracy of detecting heart pathologies exceeded 96%.
Circadian AI is currently only available to healthcare professionals as it undergoes regulatory review. In the future, Nandyala plans to expand its functionality so that the app can also diagnose lung diseases such as pneumonia and thromboembolism.
This technology could become an important tool for early diagnosis of diseases, especially in regions with limited access to medical services.