At Realize, we use advanced artificial intelligence to analyze facial and ocular features for early detection of cardiovascular diseases. Emerging scientific studies have demonstrated that subtle changes in facial characteristics and eye structures can serve as indicators of heart conditions.

Facial Analysis
Recent research has shown that facial photographs can be utilized to detect heart disease. A study published by the European Society of Cardiology demonstrated that a deep learning algorithm could analyze facial photos to predict coronary artery disease with moderate accuracy.

Ocular Analysis
The eyes have been identified as valuable indicators of cardiovascular health. Research published in the National Library of Medicine highlights strong correlations between retinal images and the progression of cardiovascular diseases. These studies suggest that retinal imaging can serve as a non-invasive method to assess cardiovascular risk.

Building on this foundation, we claim that internal changes in the eye also affect its external appearance, which can be detected using advanced AI analysis. Emerging research suggests that subtle variations in blood vessel patterns, scleral coloration, and micro-movements of the eye may reflect underlying cardiovascular conditions, including coronary artery disease (CAD).
Recent advancements in computer vision and AI-driven video analysis have demonstrated that real-time eye tracking and facial micro-expression analysis can provide key health insights. Studies have shown that:

• Microvascular changes: AI can identify subtle variations in the skin and blood vessels near the eyes, which are affected by conditions like hypertension or poor circulation. Sources: Appraisal of Cardiovascular Risk Factors, Biomarkers, and Ocular Imaging in Cardiovascular Risk Prediction, Quantitative Assessment of Conjunctival Microvascular Circulation of the Human Eye
• Scleral analysis: changes in the coloration and vascularization of the sclera can indicate systemic inflammation and cardiovascular stress.
• Pupil response and heart health: research has demonstrated that pupil position and reactivity to light can be a marker for autonomic nervous system function, which is closely related to cardiovascular health.

By leveraging smartphone cameras and AI, we aim to bring these medical advancements into everyday life, enabling users to assess their cardiovascular risk simply by analyzing eye behavior through video. This approach makes early detection more accessible and convenient than ever before.

Our goal is to make heart health monitoring more accessible, accurate, and proactive.

You can support our research by providing your data or making a donation.