Zobrazeno 1 - 10 of 223 pro vyhledávání: '"Salah S. Al-Zaiti"'
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Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review
Autor: Zeineb Bouzid, Salah S. Al-Zaiti, Raymond Bond, Ervin Sejdić
Publikováno v: Heart Rhythm
The electrocardiogram (ECG) records the electrical activity in the heart in real time, providing an important opportunity to detecting various cardiac pathologies. The 12-lead ECG currently serves as the "standard" ECG acquisition technique for diagn
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea733dc7786ee47903b4679c77c58540
https://doi.org/10.1016/j.hrthm.2022.02.030
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3
A clinician’s guide to understanding and critically appraising machine learning studies: a checklist for Ruling Out Bias Using Standard Tools in Machine Learning (ROBUST-ML)
Autor: Salah S Al-Zaiti, Alaa A Alghwiri, Xiao Hu, Gilles Clermont, Aaron Peace, Peter Macfarlane, Raymond Bond
Publikováno v: European Heart Journal - Digital Health. 3:125-140
Developing functional machine learning (ML)-based models to address unmet clinical needs requires unique considerations for optimal clinical utility. Recent debates about the rigours, transparency, explainability, and reproducibility of ML models, te
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73cc11777801f1a66f0deb7f330ad3b7
https://doi.org/10.1093/ehjdh/ztac016
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4
Overview of featurization techniques used in traditional versus emerging deep learning-based algorithms for automated interpretation of the 12-lead ECG
Autor: Daniel Guldenring, Raymond Bond, Michael Jennings, Alan Kennedy, James McLaughlin, Salah S. Al-Zaiti, Rob Brisk, Christopher McCausland, Pardis Biglarbeigi, Dewar D. Finlay
Publikováno v: Journal of Electrocardiology. 69:7-11
Automated interpretation of the 12-lead ECG has remained an underpinning interest in decades of research that has seen a diversity of computing applications in cardiology. The application of computers in cardiology began in the 1960s with early resea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dfe4dc3282a2517420fa9c7ab51fb01
https://doi.org/10.1016/j.jelectrocard.2021.08.010
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5
Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome
Autor: Samir Saba, Christian Martin-Gill, Ziad Faramand, Clifton W. Callaway, John J. Wang, Abdullah Ahmad, Stephanie Helman, Salah S. Al-Zaiti, Richard E. Gregg
Publikováno v: J Electrocardiol
BACKGROUND: The 12-lead ECG plays an important role in triaging patients with symptomatic coronary artery disease, making automated ECG interpretation statements of “Acute MI” or “Acute Ischemia” crucial, especially during prehospital transpo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2e6a1346ebc0af1bf920db17d2b80df
https://doi.org/10.1016/j.jelectrocard.2021.08.014
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8
Exploring decision making 'noise' when interpreting the electrocardiogram in the context of cardiac cath lab activation
Autor: Aaron Peace, Salah S. Al-Zaiti, Dewar Finlay, Victoria McGilligan, Raymond Bond
Publikováno v: Journal of electrocardiology. 73
In this commentary paper, we discuss the use of the electrocardiogram to help clinicians make diagnostic and patient referral decisions in acute care settings. The paper discusses the factors that are likely to contribute to the variability and noise
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3bf88b7d1e445b28b608273e09a4fd8
https://pubmed.ncbi.nlm.nih.gov/35853754
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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram
Autor: Richard E. Gregg, Zeineb Bouzid, Stephanie O Frisch, Clifton W. Callaway, Samir Saba, Ziad Faramand, Christian Martin-Gill, Lucas Besomi, Salah S. Al-Zaiti, Ervin Sejdic
Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Nature Communications
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99e3fc35c48848da5b14769f4fd49ea8
http://link.springer.com/article/10.1038/s41467-020-17804-2
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10
The Association Between Patient Outcomes and the Initial Emergency Severity Index Triage Score in Patients With Suspected Acute Coronary Syndrome
Autor: Salah S. Al-Zaiti, Stephanie O Frisch, Ziad Faramand, Christian Martin-Gill, Clifton W. Callaway, Marilyn Hravnak, Ervin Sejdic, Brandi Leverknight, Susan M. Sereika
Publikováno v: Journal of Cardiovascular Nursing. 35:550-557
Background The Emergency Severity Index (ESI) is a widely used tool to triage patients in emergency departments. The ESI tool is used to assess all complaints and has significant limitation for accurately triaging patients with suspected acute corona
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac178c514b3e39decbcd77ee41897245
https://doi.org/10.1097/jcn.0000000000000644
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