An international research team at Ateneo de Manila University has successfully developed an artificial intelligence (AI) model that predicts cardiac index (CI) with impressive accuracy.
Led by Patricia Angela Abu from the Department of Information Systems and Computer Science, the model analyzes physiological indicators such as heart rate and cardiac output.
This innovative system achieves a classification accuracy of 97.78%, marking a significant advancement in heart health monitoring.
Transforming Cardiac Care Accessibility
With a classification accuracy of 97.78%, the system demonstrates the potential for a simpler and more accessible approach to monitoring heart health.
ADMU Research Communications Section
Traditionally, monitoring cardiac function requires specialized hemodynamic analyzers and clinical settings. The new AI model, however, utilizes noninvasive sensor stickers, making heart assessment more accessible.
- AI model uses noninvasive sensors for data collection.
- Could replace conventional cardiac monitoring methods.
This development comes at a time when cardiovascular diseases are increasingly prevalent among young adults in the Philippines, with ischemic heart diseases leading to nearly 101,000 deaths in 2025.
The World Health Organization has linked this trend to rising metabolic conditions, including obesity and diabetes, highlighting the urgent need for effective monitoring solutions.
The AI model's simplicity could facilitate heart health evaluations in remote areas, where access to advanced medical technologies is limited.
The research findings were published in the April 2026 issue of the journal Bioengineering, with plans to further validate the model across diverse populations.