Swedish AI Outperforms Experts in Predicting Heart Attack Risk
A Swedish AI model developed at Karolinska Institutet is more effective than human experts at identifying individuals at risk of heart attack using X-ray images.
What happened?
A research group at Karolinska Institutet has developed a new Swedish AI model that analyses X-ray images to identify individuals at high risk of suffering a heart attack. The AI system was trained and evaluated on angiographic images from 23,000 healthy, middle-aged individuals from the large-scale Scapis study. The results demonstrate that the model outperforms human expertise in detecting early signs and risk factors within the blood vessels.
Key facts
| Studiepopulation | 23 000 personer (Scapis-studien) |
|---|---|
| Hjärtinfarkter i Sverige | Över 20 000 per år |
| Ansvarig institution | Karolinska Institutet |
”För patienter kan det ha stor betydelse för att veta sin framtida risk och hur man på bästa sätt ska förebygga en infarkt”
Why it matters
More than 20,000 people suffer from acute heart attacks in Sweden every year. By detecting hidden risk factors earlier than is currently possible through manual review, the healthcare sector can initiate preventive treatment at an early stage, potentially saving lives and reducing the burden on emergency care services.
Who is affected?
The news primarily concerns cardiologists, radiologists, and clinical staff who stand to gain a new tool for early diagnosis. Ultimately, it affects patients in the risk zone who may receive more precise preventive interventions, as well as Swedish healthcare providers who can streamline their screening processes.
Impact on the EU
Medical AI solutions used in healthcare are subject to the EU AI Act, under which AI systems for diagnostics and risk assessment are classified as high-risk applications. This imposes strict requirements for traceability, data security, and clinical validation prior to widespread implementation.
What else you should know
The study is based on data from the national population study Scapis (Swedish CAPItonis Study), which includes comprehensive health data and diagnostic imaging from tens of thousands of Swedes. Further validation and clinical trials are required before the AI model can be fully integrated into standard clinical practice.
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