Researchers at the University of Oxford have developed an artificial intelligence tool that predicts heart failure risk at least five years before it develops.

The system uses routine cardiac CT scans, which doctors already use in hospitals. Therefore, healthcare providers can adopt this tool without introducing new procedures.

The tool generates a patient risk score automatically without human input.

This innovation allows doctors to detect heart disease much earlier than before. As a result, patients can receive timely care.

🧠 How the AI Detects Early Warning Signs

The AI analyses fat tissue around the heart, which reflects early changes in heart health.

Researchers found that this fat changes its structure when the heart becomes inflamed or damaged. However, doctors cannot easily see these changes through standard imaging.

Therefore, the AI identifies hidden patterns that human analysis often misses. This ability helps doctors recognise risk earlier and act quickly.

📊 Strong Results From Large-Scale Study

The research team trained and tested the tool using data from more than 70,000 patients across nine NHS trusts in England.

Scientists tracked patients for up to ten years and compared predictions with actual outcomes. As a result, the tool achieved about 86% accuracy in predicting heart failure within five years.

In addition, patients identified as high risk were 20 times more likely to develop heart failure. Nearly one in four of these patients developed the condition within five years.

These results show that the tool provides reliable and clinically useful predictions.

💡 Enables Earlier Medical Intervention

Doctors can use the AI-generated risk score to guide treatment decisions.

For example, they can:

• Monitor high-risk patients more closely
• Start preventive treatments earlier
• Adjust care plans based on individual risk

As a result, early intervention can delay or prevent heart failure. Moreover, this approach can reduce hospital admissions and improve long-term outcomes.

🌍 Expanding Use Across Healthcare Systems

Researchers are working to expand the tool beyond cardiac scans. They aim to apply it to all chest CT scans, including those performed for other conditions.

This approach would allow doctors to detect risk during routine imaging, even when scanning for unrelated issues. Consequently, more patients could benefit without additional tests.

⚙️ Steps Toward Clinical Implementation

The research team is now seeking regulatory approval to introduce the tool into clinical practice.

They plan to integrate it into NHS radiology systems, making it part of standard workflows. In addition, organisations such as the British Heart Foundation support the project.

🔍 Future of Predictive Healthcare

Heart failure often develops silently and gets diagnosed late. Therefore, early detection can significantly improve patient outcomes.

This AI tool supports a shift toward predictive healthcare, where doctors identify diseases before symptoms appear.

Looking ahead, researchers believe similar tools could help detect other conditions early. Consequently, this approach could transform how healthcare systems manage disease prevention.