Publication Date: 2023/07/19
Abstract: Recent advancements made in artificial intelligence (AI) and machine learning (ML) technology in cardiology and echocardiography has significant importance to revolutionising diagnosis. AI has potential to assist in detecting, classifying, diagnosing, and prognosticating cardiac abnormalities in terms of improved workflow efficiency, reproducibility, and diagnostic accuracy. It offers cost-effecti solution to meet the increasing demand for cardiac imaging. However, several challenges need to be addressed before AI can be widely adopted in clinical practice. These challenges include the need for more data on AI and clinical outcomes and the validation of AI models through prospective studies. Overcoming these obstacles through further research will unlock full potential of AI in cardiology and echocardiography, ultimately enhancing medical care.
Keywords: Artificial Intelligence, Cardiology, Echocardiography, Diagnostic Accuracy, Heart Failure, Diagnosis
DOI: https://doi.org/10.5281/zenodo.8163685
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUL436.pdf
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