14-Year-Old Develops Heart Disease Detection App
Siddarth Nandyala, just 14 years old, has engineered an app named Circadian AI that can swiftly detect early signs of heart disease. This tool could be immensely valuable, especially in areas where healthcare resources are scarce.
Heart disease remains the leading cause of mortality globally, but early warning signs often go unnoticed. This oversight is largely due to the reliance on invasive tests and expensive imaging procedures, which aren’t accessible for everyone. Unfortunately, many learn about their heart conditions only after severe events like strokes or heart attacks, which, as we can imagine, can be quite dire.
Nandyala’s goal was to find a solution to this issue by creating a non-invasive and cost-effective method for screening heart irregularities before they escalate into serious problems. Circadian AI utilizes the smartphone’s microphone to capture the sound of a heartbeat. With sophisticated noise-cancellation, the recorded data is analyzed in the cloud through a machine learning model.
In just seconds, the app can pinpoint irregular patterns associated with conditions such as arrhythmia and early heart failure, among others. Users receive a summary that points out any detected abnormalities and suggests further tests if necessary.
While it’s not intended to replace full medical devices like ECGs, it serves as an effective pre-screening tool to raise awareness. The app has already gone through clinical trials, assessing around 15,000 participants in the U.S. and approximately 3,500 in India.
In both cases, the app showed over 96% accuracy in detecting signs of heart disease, which were later validated with traditional diagnostic techniques. The app is currently available only to trained professionals, pending regulatory approval and clinical validation.
Interestingly, Nandyala is also looking to broaden the scope of his app to include the detection of lung diseases, like pneumonia and pulmonary embolism, using the same sound analysis technology. This highlights how artificial intelligence is continually paving the way for innovative disease detection.
Regardless of where you stand on AI’s rise, it’s evident that it has potential benefits in medicine. From AI-assisted diagnosis to systems that can aid in saving lives, there are many avenues through which automated technologies can improve experiences for both healthcare providers and patients.
