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Heart Fail Clin ; 18(2): 311-323, 2022 Apr.
Article in English | MEDLINE | ID: mdl-35341543

ABSTRACT

Conversational artificial intelligence involves the ability of computers, voice-enabled devices to interact intelligently with the user through voice. This can be leveraged in heart failure care delivery, benefiting the patients, providers, and payers, by providing timely access to care, filling the gaps in care, optimizing management, improving quality of care, and reducing cost. Introduction of machine learning to phonocardiography has potential to achieve outstanding diagnostic and prognostic performances in heart failure patients. There is ongoing research to use voice as a biomarker in heart failure patients. If successful, this may facilitate the screening, diagnosis, and clinical assessment of heart failure.


Subject(s)
Artificial Intelligence , Heart Failure , Delivery of Health Care , Heart Failure/diagnosis , Heart Failure/therapy , Humans , Machine Learning , Phonocardiography
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