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AI analysis of CT scans detects coronary inflammation in 42.9% of asymptomatic adults

🔄 Updated 15d ago
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Key points

  • 42.9% of asymptomatic adults showed coronary inflammation.
  • 17.9% of participants had very high inflammation.
  • Traditional tests did not correlate with inflammation detection.
  • AI analysis reveals risk years before heart disease onset.

AI Detects Widespread Coronary Inflammation

Biograph completed a U.S. study using Caristo Diagnostics' CaRi-Heart AI technology to evaluate coronary inflammation in asymptomatic, low-risk individuals. The research revealed that 42.9% of participants exhibited coronary inflammation, with 17.9% showing very high inflammation in at least one major heart artery. This inflammation was present even without plaque buildup or blockage in many cases.

Limitations of Traditional Screening Methods

The study highlighted that standard blood tests and traditional cardiovascular risk factors, including cholesterol markers (ApoB, non-HDL-C), blood sugar (HbA1c), systemic inflammation (hs-CRP), and the AHA PREVENT-ASCVD risk calculator, showed no correlation with the presence of coronary inflammation. These conventional methods failed to identify patients with inflamed arteries, suggesting a limitation in their ability to provide a complete picture of cardiovascular risk.

AI Provides Earlier Risk Detection

The collaborative methodology combined Biograph’s advanced diagnostics, such as high-resolution coronary computed tomography angiography (CCTA) imaging and cardiometabolic profiling, with Caristo’s AI-enabled CaRi-Heart technology. By directly analyzing the biology of the tissue surrounding the coronary arteries, this non-invasive AI technology can uncover potential cardiovascular risk years before the onset of irreversible heart disease, offering a more complete assessment than traditional methods.

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Reporting from

A study by Biograph using Caristo Diagnostics' CaRi-Heart AI technology found that 42.9% of asymptomatic, low-risk adults have coronary inflammation, which traditional blood tests and risk factors failed to detect. This indicates AI-powered CT analysis can identify cardiovascular risk earlier than standard methods, even in the absence of plaque buildup.