Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Anthony H. Kashou, MD"'
Autor:
Levi W. Disrud, Tara A. Gosse, MS, Zach D. Linn, MS, Anthony H. Kashou, MD, Peter A. Noseworthy, MD, MBA, Angela Fink, MSN, Dawn Griffin, MA, MBA, Blade Faust
Publikováno v:
Mayo Clinic Proceedings: Digital Health, Vol 2, Iss 4, Pp 542-547 (2024)
Objective: To investigate the operational outcomes and implementation effects of tiered cardiac telemetry monitoring in a hospital environment using an innovative technology. Patients and Methods: The research focuses on assessing the precision, spee
Externí odkaz:
https://doaj.org/article/2eeb52a8d0054dd0a2a04e1e15254f9a
Autor:
Anthony H. Kashou, MD, Siva K. Mulpuru, MD, FHRS, Abhishek J. Deshmukh, MBBS, FHRS, Wei-Yin Ko, MS, Zachi I. Attia, PhD, Rickey E. Carter, PhD, Paul A. Friedman, MD, FHRS, Peter A. Noseworthy, MD, FHRS
Publikováno v:
Cardiovascular Digital Health Journal, Vol 2, Iss 3, Pp 164-170 (2021)
Objective: To develop an artificial intelligence (AI)–enabled electrocardiogram (ECG) algorithm capable of comprehensive, human-like ECG interpretation and compare its diagnostic performance against conventional ECG interpretation methods. Methods:
Externí odkaz:
https://doaj.org/article/6b4f9f1bbee544b19a1347a8a74767e1
Autor:
Anthony H. Kashou, MD, Wei-Yin Ko, MS, Zachi I. Attia, PhD, Michal S. Cohen, MS, Paul A. Friedman, MD, FHRS, Peter A. Noseworthy, MD, FHRS
Publikováno v:
Cardiovascular Digital Health Journal, Vol 1, Iss 2, Pp 62-70 (2020)
Background: Automated computerized electrocardiogram (ECG) interpretation algorithms are designed to enhance physician ECG interpretation, minimize medical error, and expedite clinical workflow. However, the performance of current computer algorithms
Externí odkaz:
https://doaj.org/article/92dcfd51b395412493e16e08234050ba