Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Michal Shelly-Cohen"'
Autor:
Michel T. Corban, Ali Ahmad, Amir Lerman, Zachi I. Attia, Dennis H. Murphree, Ilke Ozcan, Jaskanwal D. Sara, Michal Shelly-Cohen, Paul A. Friedman, Lilach O. Lerman, Takumi Toya
Publikováno v:
European Heart Journal - Digital Health. 2:597-605
Aims The current gold standard comprehensive assessment of coronary microvascular dysfunction (CMD) is through a limited-access invasive catheterization lab procedure. We aimed to develop a point-of-care tool to assist clinical guidance in patients p
Autor:
Jae K. Oh, Francisco Lopez-Jimenez, Andrew S. Tseng, Michal Shelly-Cohen, Peter A. Noseworthy, Paul A. Friedman, Itzhak Zachi Attia
Publikováno v:
European Heart Journal - Digital Health. 2:561-567
Aims Spectrum bias can arise when a diagnostic test is derived from study populations with different disease spectra than the target population, resulting in poor generalizability. We used a real-world artificial intelligence (AI)-derived algorithm t
Autor:
Francisco Lopez, Konstantinos Siontis, Paul Friedman, Atzhak Zachi Attia, Michal Shelly Cohen, Peter Noseworthy, Jose R. Medina-Inojosa, Mohammad Ali Sheffeh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7ae971383c62eb648317455a4123f4a
https://doi.org/10.26226/m.62ab21559deaf4fdb6b40cfc
https://doi.org/10.26226/m.62ab21559deaf4fdb6b40cfc
Autor:
Betsy Medina-Inojosa, Peter Noseworthy, Abraham Baez Suarez, Paul Friedman, Michal Shelly Cohen, Rickey Carter, Francisco Lopez, Zachi I Attia, Jose R. Medina-Inojosa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08a70c6cf808a1c0a6af1093878285f4
https://doi.org/10.26226/m.62ab21559deaf4fdb6b40d07
https://doi.org/10.26226/m.62ab21559deaf4fdb6b40d07
Autor:
Christopher G. Scott, Michal Shelly Cohen, Peter A. Noseworthy, Nathan K. LeBrasseur, Suraj Kapa, Paul A. Friedman, Francisco Lopez-Jimenez, Bernard J. Gersh, Zachi I. Attia, Adetola Ladejobi, Jose R. Medina-Inojosa
Publikováno v:
European Heart Journal - Digital Health. 2:379-389
Background We have demonstrated that a neural network is able to predict a person’s age from the electrocardiogram (ECG) [artificial intelligence (AI) ECG age]. However, some discrepancies were observed between ECG-derived and chronological ages. W
Autor:
Wei-Yin Ko, Peter A. Noseworthy, Michal Shelly Cohen, Anthony H. Kashou, Zachi I. Attia, Paul A. Friedman
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
Autor:
Francisco Lopez-Jimenez, Amir Lerman, Ali Ahmad, Michel T. Corban, Michal Shelly Cohen, Suraj Kapa, Ilke Ozcan, Lilach O. Lerman, Peter A. Noseworthy, Takumi Toya, Jaskanwal D. Sara, Zachi I. Attia, Paul A. Friedman
Publikováno v:
Circulation. Arrhythmia and electrophysiology. 14(8)
Autor:
Francisco Lopez-Jimenez, Zachi I. Attia, Suraj Kapa, Jose R. Medina-Inojosa, Adetola Ladejobi, Peter A. Noseworthy, Paul A. Friedman, Bernard J. Gersh, Michal Shelly-Cohen
Publikováno v:
European Heart Journal. 41
Background We have demonstrated that artificial intelligence interpretation of ECGs (AI-ECG) can estimate an individual's physiologic age and that the gap between AI-ECG and chronologic age (Age-Gap) is associated with increased mortality. We hypothe
Autor:
Zachi I. Attia, Francisco Lopez-Jimenez, Peter A. Noseworthy, Michal Shelly-Cohen, Paul A. Friedman, Andrew S. Tseng
Publikováno v:
Journal of the American College of Cardiology. 77:3241