For many years, doctors have used the Framingham Risk Score to estimate the chance of heart disease. It’s based on fixed factors like age, cholesterol, blood pressure, diabetes, and smoking (Wikipedia). While helpful, this formula was created decades ago and sometimes struggles to give accurate predictions for today’s diverse patients.
With new technology, AI models can go further. They use the same data as Framingham, but remove factors that don’t really help and focus on the ones that matter most. AI can also spot hidden patterns that the old formula cannot.
Our real-world test:
When we tested our AI model on predicting high blood pressure, it achieved about 80% accuracy, compared to only 62% with the Framingham formula. This shows how AI can provide clearer insights into individual risk.
Backed by studies:
Research agrees with these findings. AI is consistently more accurate in predicting hypertension and coronary heart disease (CHD). For example, one study found For predict CHD AI reached an accuracy score (AUC) of 0.96 (IEEE).
What this means for you:
The Framingham score is still a useful baseline, but AI provides a more precise and more personalized prediction. By comparing both, you and your doctor can get a clearer picture of your health and make better decisions.