A 14-year-old software developer from India, Siddharth Nandiala, has created an innovative mobile app called Circadian AI, capable of detecting heart diseases in seconds, as reported by Smithsonian Magazine.

Cardiovascular diseases are among the leading causes of mortality worldwide, yet their early symptoms often go unnoticed. This is due to the fact that diagnosing these symptoms usually requires expensive procedures or complex tests that are not accessible to many patients, particularly in poorer countries. Nandiala aimed to change this by developing an affordable and non-invasive diagnostic method.

The Circadian AI app utilizes the smartphone's microphone to record the user's heartbeat. The recorded sound is processed using noise-cancellation technology and then analyzed in the cloud with machine learning algorithms. In just a few seconds, the app can identify arrhythmia, valve issues, early signs of heart failure, or ischemic heart disease.

The app has already undergone clinical trials: in the USA, it was tested on 15,000 patients, and in India, on 3,500. The accuracy of detecting cardiac pathologies exceeded 96%.

Currently, Circadian AI is only available to medical professionals as it is undergoing regulatory review. In the future, Nandiala plans to expand its functionality to also diagnose lung diseases, such as pneumonia and thromboembolism.

This technology could become a crucial tool for early disease diagnosis, especially in regions with limited access to medical services.