Teen’s AI App Detects Heart Disease in 7 Seconds
In a stunning display of innovation, 14-year-old Siddharth Nandyala from Frisco, Texas, has developed an AI-powered app capable of detecting heart disease in just 7 seconds. Named Circadian AI, the app offers a groundbreaking solution that can identify early symptoms of heart disease with remarkable accuracy. By simply placing a smartphone near the chest, the app captures the heartbeat, removes background noise, and utilizes a cloud-based machine learning model to analyze the data. The app is designed to detect conditions such as arrhythmia, heart failure, coronary artery disease, and valve problems.
Global Clinical Trials Prove Impressive Accuracy
Siddharth’s invention has already undergone rigorous clinical trials, with 15,000 American and 3,500 Indian patients participating. The results have been nothing short of exceptional, with the app showing an accuracy rate exceeding 96%. This impressive achievement highlights the app’s global potential, particularly in areas with limited access to advanced healthcare. Cardiologists have praised Siddharth’s work, noting its ability to serve as a pre-screening tool, which could ultimately revolutionize early heart disease detection, especially in underserved regions.
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A Young Innovator's Vision for the Future
Siddharth, a computer science student at the University of Texas, is not new to impactful innovations. He previously created a low-cost prosthetic arm and founded STEM IT, a startup aimed at providing science-technology kits for students. His contributions have earned him significant recognition, including a Certificate of Recognition from the US House of Representatives. Looking ahead, Siddharth plans to expand Circadian AI’s capabilities to detect lung diseases such as pneumonia and pulmonary embolism. "I want to bring a change that makes the world better," he said, showcasing his drive to push boundaries and make a meaningful difference in the world of healthcare.
