Key result
AI and machine learning in echocardiography show promise for streamlining diagnosis and improving cardiac classification.
Why the study?
Artificial intelligence and machine learning are increasingly applied in echocardiography, but an overview of their applications to streamline assessments, automate imaging, and support treatment decisions was needed.
Artificial intelligence and machine learning are increasingly applied in echocardiography to streamline diagnostic and prognostic assessments and support treatment decisions.
AI-enhanced echocardiography should not yet change practice; leaves open its diagnostic role pending prospective validation.
Artificial intelligence and machine learning approaches have become increasingly applied in the field of echocardiography to streamline diagnostic and prognostic assessments, and to support treatment decisions. Artificial intelligence and machine learning have been applied to aid image acquisition and automation. They have also been applied to the integration of clinical and imaging data. Applications of artificial intelligence and machine learning approaches in echocardiography in conjunction with health information databases may be promising in improving the classification and treatment of many cardiac conditions. This review article provides an overview of the applications of artificial intelligence and machine learning approaches in echocardiography.
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Nabi et al. (2021) conducted a review in Cardiac conditions. Artificial intelligence and machine learning was evaluated. Artificial intelligence and machine learning approaches in echocardiography show promise in streamlining diagnostic and prognostic assessments and improving the classification of cardiac conditions.
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