The field of cardiovascular medicine has long been at the forefront of innovation. Innovations in data science, particularly machine learning (ML) and artificial intelligence (AI), have generated enthusiasm in the field to bring about transformative changes to cardiovascular care, replicating the disruption of accepted norms they brought about in other spheres of life (1). However, compared with other industries, the application of these technologies in medicine remains in its infancy with incremental gains in the science supporting their use in clinical care. An area of innovation that has highlighted the promised value of ML and AI in cardiovascular medicine is their application to complex, existing data sources to generate novel insights. This has previously been limited to the automated analysis of imaging data, but now has expanded to data streams previously inaccessible for diagnostic or screening interventions.
HeartSciences’ AI-ECG products are currently in development and not commercially available in the United States.
wavECG and wavEKG are trademarks of HeartSciences.
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