The Future is Here: Artificial Intelligence in Cardiovascular Imaging (2023)-T8-CCA06-2023

Video Transcription

Video Summary

The video provides an overview of advancements in AI and cardiac imaging, focusing on cardiac MRI, CT, and future implications involving radiomics. The discussion begins with the transformative potential of AI in streamlining processes such as disease characterization in cardiac MRI by automating complex workflows and reducing laborious tasks. It emphasizes how AI enhances radiology by replacing the need for deep computational expertise with more intuitive algorithmic training. Examples like deep learning for myocardial strain assessments show improvements in interpretative accuracy and efficiency without human intervention.<br /><br />Further, the video explores how AI has been integrated within cardiac CT workflows, impacting image acquisition, quality improvement, segmentation, and automated plaque analysis. AI algorithms, such as those used for coronary plaque quantification, drastically reduce expert time from minutes to seconds while maintaining accuracy. Future possibilities include personalized risk assessment and management by combining AI-derived imaging insights with traditional clinical data.<br /><br />Radiomics, the extraction of vast data sets from imaging voxels, offers another layer of predictive analytics, enabling the identification of high-risk features beyond the scope of human recognition. Despite the promise, challenges such as variability in data integration, the need for standardized procedures, and infrastructure limitations are highlighted as barriers to the widespread adoption of AI in clinical settings.

Keywords

AI advancements

cardiac imaging

cardiac MRI

cardiac CT

radiomics

deep learning

automated workflows

image segmentation

predictive analytics