Detalhe da pesquisa
1.
Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association.
Circulation
; 149(14): e1028-e1050, 2024 04 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-38415358
2.
Incorporation of Serial 12-Lead Electrocardiogram With Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary Syndrome.
Ann Emerg Med
; 81(1): 57-69, 2023 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36253296
3.
Exploring decision making 'noise' when interpreting the electrocardiogram in the context of cardiac cath lab activation.
J Electrocardiol
; 73: 157-161, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-35853754
4.
Exercise-Related Acute Cardiovascular Events and Potential Deleterious Adaptations Following Long-Term Exercise Training: Placing the Risks Into Perspective-An Update: A Scientific Statement From the American Heart Association.
Circulation
; 141(13): e705-e736, 2020 03 31.
Artigo
em Inglês
| MEDLINE | ID: mdl-32100573
5.
Overview of featurization techniques used in traditional versus emerging deep learning-based algorithms for automated interpretation of the 12-lead ECG.
J Electrocardiol
; 69S: 7-11, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34548191
6.
The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review.
Cardiol Young
; 31(11): 1770-1780, 2021 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-34725005
7.
Exploring the complex interactions of baseline patient factors to improve nursing triage of acute coronary syndrome.
Res Nurs Health
; 43(4): 356-364, 2020 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-32491206
8.
Comparison of clinical risk scores for triaging high-risk chest pain patients at the emergency department.
Am J Emerg Med
; 37(3): 461-467, 2019 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-29907395
9.
The role of heart rate variability, heart rate turbulence, and deceleration capacity in predicting cause-specific mortality in chronic heart failure.
J Electrocardiol
; 52: 70-74, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-30476644
10.
Diurnal, weekly and seasonal variations of chest pain in patients transported by emergency medical services.
Emerg Med J
; 36(10): 601-607, 2019 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-31366626
11.
Explainable-by-design: Challenges, pitfalls, and opportunities for the clinical adoption of AI-enabled ECG.
J Electrocardiol
; 81: 292-294, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37635030
12.
Evaluation of beat-to-beat ventricular repolarization lability from standard 12-lead ECG during acute myocardial ischemia.
J Electrocardiol
; 50(6): 717-724, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28916174
13.
The prognostic value of discordant T waves in lead aVR: A simple risk marker of sudden cardiac arrest in ischemic cardiomyopathy.
J Electrocardiol
; 48(5): 887-92, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26233648
14.
Rationale, development, and implementation of the Electrocardiographic Methods for the Prehospital Identification of Non-ST Elevation Myocardial Infarction Events (EMPIRE).
J Electrocardiol
; 48(6): 921-6, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26346296
15.
The Prevalence of Clinical and Electrocardiographic Risk Factors of Cardiovascular Death Among On-duty Professional Firefighters.
J Cardiovasc Nurs
; 30(5): 440-6, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-24874885
16.
Novel technical solutions for wireless ECG transmission & analysis in the age of the internet cloud.
J Electrocardiol
; 46(6): 540-5, 2013.
Artigo
em Inglês
| MEDLINE | ID: mdl-23992916
17.
Unsupervised machine learning identifies symptoms of indigestion as a predictor of acute decompensation and adverse cardiac events in patients with heart failure presenting to the emergency department.
Heart Lung
; 61: 107-113, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37247537
18.
Ventricular tachycardia and in-hospital mortality in the intensive care unit.
Heart Rhythm O2
; 4(11): 715-722, 2023 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-38034889
19.
Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.
Nat Med
; 29(7): 1804-1813, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37386246
20.
High-risk electrocardiographic parameters are ubiquitous in patients with ischemic cardiomyopathy.
Ann Noninvasive Electrocardiol
; 17(3): 241-51, 2012 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-22816543