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Cardiovascular Digital Health Journal|April 27, 2023
Artificial intelligence-enabled classification of hypertrophic heart diseases using electrocardiogramsJulian S Haimovich, Nate Diamant, Shaan Khurshid, et al.
Cardiovascular Digital Health Journal|April 26, 2021
Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECGGiorgio Luongo, Luca Azzolin, Steffen Schuler, et al.
Cardiovascular Digital Health Journal|September 14, 2020
Survey of current perspectives on consumer-available digital health devices for detecting atrial fibrillationEric Y Ding, Emma Svennberg, Christina Wurster, et al.
Cardiovascular Digital Health Journal|January 2, 2023
Machine learning predicting mortality in sarcoidosis patients admitted for acute heart failureQiying Dai, Akil A Sherif, Chengyue Jin, et al.
Cardiovascular Digital Health Journal|January 2, 2023
Inside the "black box": Embedding clinical knowledge in data-driven machine learning for heart disease diagnosisJames Meng, Ruiming Xing
Cardiovascular Digital Health Journal|January 2, 2023
Tandem deep learning and logistic regression models to optimize hypertrophic cardiomyopathy detection in routine clinical practiceMaren Maanja, Peter A Noseworthy, Jeffrey B Geske, et al.
Cardiovascular Digital Health Journal|January 2, 2023
Wearable device use and technology preferences in cancer survivors with or at risk for atrial fibrillationJamie M Faro, Kai-Lou Yue, Aditi Singh, et al.
Cardiovascular Digital Health Journal|October 12, 2020
COVID-19 testing and infection surveillance: Is a combined digital contact-tracing and mass-testing solution feasible in the United States?Devin Skoll, Jennifer C Miller, Leslie A Saxon
Cardiovascular Digital Health Journal|June 20, 2022
A machine learning model in predicting hemodynamically significant coronary artery disease: A prospective cohort studyYan Liu, Haoxing Ren, Hanna Fanous, et al.
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