榴莲黄视频

KENNESAW, Ga. | Jul 3, 2025

Cardiovascular disease is the leading cause of death not only in the United States but globally, per the World Health Organization. 

榴莲黄视频 student Pedro Henrique Goncalves Silva Pinto鈥檚 research aims to simplify the diagnosis and management of cardiovascular disease by segmenting and analyzing blood flow from medical imaging data.

Under the mentorship of Assistant Professor of Computer Science Chen Zhao, Pinto is using machine learning to develop a fast and accurate model for blood flow prediction.

鈥淚magine if doctors could predict how the blood flows through your body by only a simple scan;鈥� Pinto said, 鈥淭hat is the future my research is helping to build.鈥�

Pinto, a computer science major, is conducting this work through the Office of Undergraduate Research鈥檚 Summer Undergraduate Research Program (SURP).

Currently, medical professionals examine blood flow through the process of Computational Fluid Dynamics, which is both slow and costly. It delays the diagnoses, hindering the treatment and sometimes contributing to the high levels of fatalities.

Additionally, there are multiple types of cardiovascular disease, and while many have combinations of similar symptoms, each presents its own danger. 

A key component to Pinto鈥檚 research is deep-learning architectures, which are artificial intelligence models used to rapidly sort through large sets of data to locate and memorize patterns.

鈥淯-Net and V-Net both are deep-learning model architectures,鈥� Pinto said. 鈥淪o, the U-Net is specialized on the image while V-Net is more specialized in treatment. We can use the V-Net to predict the pressure inside a vessel while the U-Net can be used to extract the vessel from the CT scan.鈥� 

The ability to predict these patterns rapidly opens doors for integrating this technology into diagnostic workflows, potentially aiding clinicians in early disease detection and treatment planning.

鈥�   Story by Alyssa Ozment

A leader in innovative teaching and learning, 榴莲黄视频 offers undergraduate, graduate, and doctoral degrees to its more than 47,000 students. 榴莲黄视频is a member of the University System of Georgia with 11 academic colleges. The university’s vibrant campus culture, diverse population, strong global ties, and entrepreneurial spirit draw students from throughout the country and the world. 榴莲黄视频is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 8 percent of U.S. colleges and universities with an R1 or R2 status. For more information, visit kennesaw.edu.