Developing a clearer picture of heart health
HeartVision, developed by the City University of Macau, is an award-winning system that uses AI for cardiac imaging recognition and segmentation
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The Faculty of Data Science at City University of Macau has developed a pioneering algorithm that gives cardiologists a better view of coronary branches and vessels, speeding up clinical assessments. According to Wenjian Liu, associate dean of teaching and learning at the faculty, its main goal is simple: “We hope to provide clinicians with a more complete and reliable view of the coronary tree, all the way down to the tiny distal branches and capillary-level vessels.”
The aim is not to replace doctors but to help them see coronary images more clearly so they can quickly and accurately assess heart health. Traditional methods tend to focus on the main trunks and proximal vessels but struggle with thinner, more curved and low-contrast branches, says Liu.