A 14-year-old software developer from India, Siddharth Nandyala, has created a groundbreaking mobile application called Circadian AI, which can swiftly identify heart conditions, reports Smithsonian Magazine.
Cardiovascular diseases remain one of the leading causes of mortality worldwide; however, their early symptoms often go unnoticed. This is largely due to the need for expensive and complex diagnostic procedures that are inaccessible to many patients, particularly in low-income countries. Nandyala 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 analyzed in the cloud with machine learning algorithms. Within seconds, the app can detect arrhythmias, valve issues, early signs of heart failure, or ischemic heart disease.
The app has already undergone clinical trials: it was tested on 15,000 patients in the USA and 3,500 in India. The accuracy in detecting cardiac pathologies exceeded 96%.
Currently, Circadian AI is available only to medical professionals as it is undergoing regulatory review. In the future, Nandyala plans to expand its functionality to also diagnose lung diseases, such as pneumonia and thromboembolism.
This technology has the potential to become a crucial tool for early disease diagnosis, especially in regions with limited access to medical services.
