
CARA Lab develops AI tools to analyze OCT images in real time during heart procedures. They build trustworthy deep learning models to automate segmentation and characterization of intravascular structures. The work integrates with OCT systems and hospital imaging workflows for interventional cardiology. Technologies include AI, deep learning, and OCT, with a focus on real-time analysis and high-risk plaque and stent-related risk prediction. As a collaborative effort between Radboudumc, Amsterdam UMC, and Abbott, the lab aims to scale clinically and improve patient outcomes.

CARA Lab develops AI tools to analyze OCT images in real time during heart procedures. They build trustworthy deep learning models to automate segmentation and characterization of intravascular structures. The work integrates with OCT systems and hospital imaging workflows for interventional cardiology. Technologies include AI, deep learning, and OCT, with a focus on real-time analysis and high-risk plaque and stent-related risk prediction. As a collaborative effort between Radboudumc, Amsterdam UMC, and Abbott, the lab aims to scale clinically and improve patient outcomes.