HomeNewsTrends14-year-old develops AI app to detect heart disease in 7 seconds. Meet Siddharth Nandyala

14-year-old develops AI app to detect heart disease in 7 seconds. Meet Siddharth Nandyala

Clinical trials have shown the app's exceptional accuracy, demonstrating over 96 percent effectiveness across 15,000 American and 3,500 Indian patients.

June 10, 2025 / 20:51 IST
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This isn’t Siddharth Nandyala’s first foray into impactful innovation. A computer science student at the University of Texas, he previously created a low-cost prosthetic arm and founded STEM IT, a startup providing science-technology kits for students.
This isn’t Siddharth Nandyala’s first foray into impactful innovation. A computer science student at the University of Texas, he previously created a low-cost prosthetic arm and founded STEM IT, a startup providing science-technology kits for students. (Image credit: STEM IT)

A 14-year-old Texas boy, Siddharth Nandyala from Frisco, has amazed the medical world with his invention of a smartphone app capable of detecting heart disease in just 7 seconds.

According to the New York Post, Nandyala's app, named Circadian AI, identifies early symptoms of heart disease with remarkable accuracy. Users simply place their smartphone near their chest, allowing the app to record the heartbeat, filter out background noise, and then use a cloud-based machine learning model to analyse the data. The app can detect conditions including arrhythmia, heart failure, coronary artery disease, and valve problems.

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Nandyala, a student at the University of Texas, developed and refined the app in collaboration with medical professionals, using data gathered from hospitals in both the US and India.

Impressive accuracy and future potential
Clinical trials have shown the app's exceptional accuracy, demonstrating over 96 percent effectiveness across 15,000 American and 3,500 Indian patients. Currently, Circadian AI is designed as a pre-screening tool for trained medical personnel, not a replacement for traditional methods like EKG.