Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten

The case describes the use of AI-ECG to diagnose HCM appropriately in a 61-year-old symptomatic patient with no previous knowledge of the disease. Following an appropriate diagnosis of HCM, the patient was initiated on the novel cardiac myosin inhibitor mavacamten, with an excellent clinical response.

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Publication Details

Journal
JACC Case Reports
Published
2025-02-26
DOI
https://doi.org/10.1016/j.jaccas.2024.103228
Citations
1
Primary Topic
Cardiomyopathy and Myosin Studies
Type
article
Field-Weighted Citation Impact
1.39
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article

Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten

Milind Y. Desai, Katy Rutkowski, Susan Ospina
1 citations
JACC Case Reports
Cardiomyopathy and Myosin Studies
1.39
article

Artificial Intelligence-Based Electrocardiographic Analysis Facilitated Diagnosis of Hypertrophic Cardiomyopathy With Successful Treatment Using Mavacamten

Milind Y. Desai, Katy Rutkowski, Susan Ospina
article en
1 citations

Abstract

The case describes the use of AI-ECG to diagnose HCM appropriately in a 61-year-old symptomatic patient with no previous knowledge of the disease. Following an appropriate diagnosis of HCM, the patient was initiated on the novel cardiac myosin inhibitor mavacamten, with an excellent clinical response.

JACC Case ReportsVol. 30(8)
Cleveland Clinic (US)
Good health and well-being
Openalex Percentile: Top 22%
Cardiomyopathy and Myosin Studies
1.39
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