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Instagram · June 1, 2026

Source-backed Partially True Truth Percentage: 70% CORRECT

14-Year-Old Develops AI App to Detect Heart Disease in Seconds

general viral claims

Unable to extract a clean what is said in the video.

What's right

The app Circadia AI was developed by a 14-year-old named Siddharth Nandyala [1][2].
It uses a smartphone's microphone to record heart sounds and an AI model to analyze them [1][2].
The app can detect arrhythmias and irregular heartbeats [1][2].
It is described as a pre-screening tool and not a replacement for traditional diagnostic methods [1][2].
The app has been tested in India, with one report stating that in trials, Nandyala detected potential cardiovascular diseases in over 40 patients within seven seconds [1].
Another source mentions detection in seconds [3].

What's wrong

The claim states the app detects heart disease in 10 seconds, while the references consistently mention detection in seven seconds [1][2][3].
The claim mentions 96% accuracy and testing on 15,000+ patients in India and the US, which is not directly supported by the provided references.
One reference mentions testing in India and diagnosing over 40 patients within seven seconds [1], but not the scale of 15,000+ patients or specific accuracy percentages [1][2][3].

Breakdown

The core claim that a 14-year-old developed an AI app to detect heart disease using a smartphone is accurate [1][2][3]. The app, Circadia AI, analyzes heart sounds recorded by the phone's microphone to identify potential cardiovascular issues like arrhythmias [1][2].

The primary discrepancy lies in the time frame for detection. The what is said in the video claims 10 seconds, while the provided references consistently state seven seconds for detection [1][2][3].

Furthermore, the what is said in the video mentions a 96% accuracy rate and testing on over 15,000 patients in India and the US. While the app has undergone testing in India, with one source detailing the detection of potential cardiovascular diseases in over 40 patients within seven seconds [1], the specific figures of 96% accuracy and 15,000+ patients are not corroborated in the provided web context [1][2][3].

Reference sources

smithsonianmag.com nypost.com e.vnexpress.net pmc.ncbi.nlm.nih.gov
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