Online PhD Defence Borek Foldyna
Supervisor: Prof. dr. Ir. Hugo Aerts
Co-supervisor: Dr. Michael Lu
Keywords: Cardiovascular Risk, Artificial Intelligence, Cardiovascular Imaging, Computed Tomography, Adverse cardiovascular events
"Artificial Intelligence in Cardiac Imaging: Assessment, Prediction, and Management of Cardiovascular Risk"
This thesis explores how artificial intelligence (AI) can improve heart imaging and help predict and manage cardiovascular risk. It focuses on using advanced computer tools to address the limitations of current methods in assessing heart health, particularly for conditions like coronary artery disease, which is a major global health issue. The research highlights the potential of AI to analyze imaging data, such as calcium buildup in heart arteries, to predict heart disease and adverse events. It also explores the use of AI to study fat surrounding the heart, which is believed to promote inflammation and increase cardiovascular risk. These tools were tested in different cohorts, including individuals with HIV, patients with chest pain, and those undergoing lung cancer screening. By combining medical imaging with AI technology, this work proposes new ways to improve heart care and demonstrates how AI can play a crucial role in advancing the future of healthcare.
Click here for the live stream.
Also read
-
PhD Defence Emmanuel Tan Chee Peng
"Beyond Hogwarts and Sorting Hats: How a House System shapes medical student support"
10 Jun -
PhD Defence Mariia Denisova
"Co-construction of reliable knowledge, good care and profit-making: The ambivalent role of private clinics in Russian healthcare"
10 Jun -
PhD Defence Charlotte Merel Marije Peters
"Beyond The Red Lights: Understanding the STI/HIV burden and sexual healthcare needs of home-based and migrant sex workers"
11 Jun