A groundbreaking advancement in the field of cardiovascular diagnostics has been recognized with a prestigious award. Chen Zhao, an assistant professor at Kennesaw State University, has received the 2025 American Heart Association Institutional Research Enhancement Award (AIREA) for his innovative work on non-invasive blood flow prediction. This $194,032 grant will support Zhao's efforts to develop technology that can evaluate Fractional Flow Reserve (FFR), a critical measurement for diagnosing coronary artery disease (CAD). CAD remains the leading cause of death in the United States, claiming hundreds of thousands of lives annually. Zhao's research aims to transform traditional invasive methods into a safer, faster, and more efficient diagnostic tool, potentially saving countless lives.

The current methods for measuring FFR are both time-consuming and risky. Traditional approaches involve inserting a wire into the patient's artery, which can be uncomfortable and carries certain risks. Alternatively, computational fluid dynamics-based methods can take hours to produce results. Zhao’s solution involves using coronary computed tomography angiography (CCTA) scans to predict FFR. By leveraging advanced algorithms and deep learning techniques, Zhao's technology can provide real-time results in just seconds, significantly reducing the risks and discomfort associated with invasive procedures.

This shift from invasive to non-invasive diagnostics is not only about improving the speed and safety of the process but also about transforming the entire workflow in cardiovascular medicine. Doctors will have access to immediate data, enabling them to make quicker and more informed decisions. The potential impact on patient care is immense, as faster diagnoses can lead to earlier treatment and better outcomes. Zhao’s work bridges the gap between computer science and healthcare, demonstrating the power of interdisciplinary collaboration.

Zhao’s journey into this field began during his doctoral studies, where he first explored the intersection of computer science and medical imaging. He became particularly interested in how AI could revolutionize diagnostic processes, especially in cardiovascular health. His vision extends beyond CAD diagnostics; Zhao hopes to apply similar principles to other areas of medicine, pushing the boundaries of what AI can achieve in healthcare. Ultimately, his goal is to improve patient outcomes and quality of life on a global scale. Through his innovative approach, Zhao is setting a new standard for medical diagnostics, promising a future where advanced technology enhances patient care and saves lives.