White Paper
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Machine learning (ML), an extension of the century-long quest for artificial intelligence (AI), has altered our collective conception of information and its seemingly boundless potential for guiding change. Machine learning is broadly defined as the ability of a system to autonomously acquire knowledge by extracting patterns from large data sets.1This field has sparked tremendous innovation in all sectors of the technology industry, from speech recognition and sentiment analysis to spam filters, chatbots and autonomous driving.