Swedish AI model identifies double the number of high-risk heart attack cases
A new Swedish AI model can detect elevated risk of heart attack through the automated analysis of CT scans. In a study of 23,000 individuals, the AI tool identified plaque in twice as many cases compared to manual review.
What happened?
On 3 September 2026, it was reported that Swedish researchers have developed an AI model for the automated analysis of CT scans of the heart's coronary arteries. In a study involving approximately 23,000 seemingly healthy middle-aged individuals, the AI model identified coronary artery plaque in roughly twice as many subjects compared to manual review.
Key facts
| Studiepopulation | Cirka 23 000 personer |
|---|---|
| Identifiering av plack | Dubbelt så många som vid manuell granskning |
| Metod | Automatisk analys av skiktröntgen av kranskärl |
| Publiceringsdatum | 3 september 2026 |
Why it matters
Traditional manual review of X-ray images is time-consuming and prone to variability depending on the evaluator performing the analysis. Automated image analysis can provide a more consistent assessment and detect early signs of coronary artery disease that might otherwise be overlooked.
Who is affected?
Physicians, radiologists, and patients within the healthcare system would be directly affected if the tool is introduced into clinical practice. Middle-aged individuals with an elevated but undiagnosed risk of cardiovascular disease are the primary patient group concerned.
Impact on the EU
The study does not contain specific information regarding approval under the EU AI Act or the Medical Device Regulation (MDR). However, the implementation of AI in European healthcare requires strict validation and regulatory compliance.
What else you should know
Currently, the source material lacks detailed information regarding which specific universities or research groups led the development of the model, as well as precise accuracy metrics beyond the comparison with manual review. The editorial team will provide further information once the full study is published.
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