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AI Tools and Reviews / AI tool identifies structural heart disease with 88% accuracy using smartwatch data
AI Tools and ReviewsResearch

AI tool identifies structural heart disease with 88% accuracy using smartwatch data

The AI algorithm analyzed 30-second smartwatch readings and demonstrated an impressive 88% accuracy in detecting structural heart disease.

Leo Martins
ByLeo Martins
AI Tools, Prompts & Practical AI Expert
Leo Martins is the AI Tools & Practical AI Expert at Aiholics, focused on helping readers use artificial intelligence to improve productivity, creativity and everyday work....
- AI Tools, Prompts & Practical AI Expert
Published: November 3, 2025
5 Min Read
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Imagine if your everyday smartwatch could do more than just track your steps or alert you about irregular heart rhythms. A new AI tool is transforming simple smartwatch ECG readings into powerful insights for detecting structural heart disease in adults. This breakthrough was revealed at the American Heart Association Scientific Sessions 2025 and shows huge potential to change how we screen for serious heart conditions.

From simple ECGs to powerful diagnosis

Traditionally, detecting structural heart disease – like weakened heart pumping, damaged valves, or thickened muscles – required an echocardiogram, an advanced ultrasound scan usually available only in specialized clinical settings. But this new AI algorithm turns the single-lead ECG readings captured by smartwatches into a diagnostic tool. The AI was trained on over 266,000 12-lead ECGs and learned to detect signs of structural heart disease using just one lead—the kind you get from your smartwatch’s electrical heart sensor.

Image: American Heart Association

I came across insights revealing that the researchers even improved the AI’s resilience by training it to handle “noise” or interference often present in real-world smartwatch ECG signals. This means the AI can still make reliable detections even when the data isn’t perfect, which is realistically the case for wearable devices.

The study that put smartwatch AI to the test

In a prospective study, 600 adults performed a quick 30-second single-lead ECG on their smartwatch, the same day they had a clinical heart ultrasound. The AI algorithm analyzed these readings and demonstrated an impressive 88% accuracy in detecting structural heart disease. To put it into perspective, the AI picked up 86% of people with heart disease and confidently ruled it out 99% of the time when it wasn’t there.

The AI algorithm analyzed 30 second smartwatch readings and demonstrated an impressive 88% accuracy in detecting structural heart disease

This is particularly exciting because millions of people already wear smartwatches. While these devices have mostly been used to detect rhythm problems like atrial fibrillation, this new AI approach could make early identification of glaring heart problems accessible to a much wider audience without specialized equipment.

Why this matters and what’s next

Structural heart disease often progresses silently until it causes serious complications or heart events. Having a simple, widely available way to screen for these conditions could revolutionize preventive care and save lives. Yet, the study also acknowledges some limitations like the relatively small number of actual heart disease cases detected and some false positives.

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The researchers plan to expand testing to broader populations and explore integrating this AI tool into community screening programs. This kind of innovation taps into the democratizing power of technology, potentially offering equitable access to advanced heart health screening through devices many of us already own.

  • The AI was trained and validated on large, real-world datasets, including patients from multiple hospitals and a Brazilian population study.
  • By focusing on single-lead ECGs and handling noisy data, the AI mimics real smartwatch conditions, making its findings highly relevant.
  • The study demonstrates potential for scalable, early detection of structural heart diseases outside traditional clinical settings.

In a nutshell, this research opens doors to a future where your smartwatch isn’t just a fitness tracker but a portable heart screening device. While more validation is needed, what we see here is a glimpse of how AI can harness everyday tech to catch hidden health problems, helping people act early before complications arise.

Key takeaways

  • AI algorithms can now detect structural heart disease using single-lead ECG data from smartwatches with high accuracy.
  • This approach could make early heart disease screening broadly accessible, beyond specialized clinics and advanced ultrasound machines.
  • Training the AI to handle real-world signal noise enhances its reliability for practical use on wearable devices.

It’s remarkable to see how smartwatches paired with AI are evolving from simple heart rate monitors into comprehensive tools for cardiac health. There’s still work to do, but these advances hint at a future where early detection and better prevention of heart disease are literally on our wrists.

TAGGED:AIAI toolshealthheartresearchsmartwatch

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ByLeo Martins
AI Tools, Prompts & Practical AI Expert
Leo Martins is the AI Tools & Practical AI Expert at Aiholics, focused on helping readers use artificial intelligence to improve productivity, creativity and everyday work. He explores the latest AI applications, assistants, prompt techniques, and workflow automation, publishing practical, step-by-step guides anyone can follow. Leo's approach is hands-on, honest, and results-driven to make AI accessible even for non-technical users. His reviews and comparisons, from his vantage point, bring out what really works: which tools to try, and how to get the most out of emerging AI platforms. Leo writes tutorials, prompt packs, tool breakdowns, and real-world use cases for professionals, creators, students, and small businesses. If there's a new AI tool launching, Leo tests it, breaks it down, and shares how to use it to save time or unlock new possibilities. He feels that, when well applied, AI enhances the abilities of humans rather than taking their places. Further, Leo wants his audience to feel empowered in adopting AI in everyday routine confidently and stay ahead of the technology curve with what he provides on Aiholics.
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