Detalhe da pesquisa
1.
What do we mean by complex percutaneous coronary intervention? An assessment of agreement amongst interventional cardiologists for defining complexity.
Catheter Cardiovasc Interv
; 102(1): 1-10, 2023 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-37210623
2.
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
3.
Weight as an assay-independent predictor of poor response to enteric aspirin in cardiovascular patients.
Platelets
; 31(4): 530-535, 2020 May 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-31530207
4.
Spontaneous regression of ALK fusion protein-positive non-small cell lung carcinoma: a case report and review of the literature.
BMC Pulm Med
; 20(1): 209, 2020 Aug 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-32762670
5.
Machine learning techniques for detecting electrode misplacement and interchanges when recording ECGs: A systematic review and meta-analysis.
J Electrocardiol
; 62: 116-123, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-32866909
6.
An exploratory analysis investigating blood protein biomarkers to augment ECG diagnosis of ACS.
J Electrocardiol
; 57S: S92-S97, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31519392
7.
Data driven feature selection and machine learning to detect misplaced V1 and V2 chest electrodes when recording the 12lead electrocardiogram.
J Electrocardiol
; 57: 39-43, 2019.
Artigo
em Inglês
| MEDLINE | ID: mdl-31476727
8.
Automation bias in medicine: The influence of automated diagnoses on interpreter accuracy and uncertainty when reading electrocardiograms.
J Electrocardiol
; 51(6S): S6-S11, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-30122457
9.
Comparing ST-segment elevation myocardial infarction care between patients residing in central and remote locations: a retrospective case series.
Rural Remote Health
; 18(4): 4618, 2018 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-30368234
10.
A decision support system and rule-based algorithm to augment the human interpretation of the 12-lead electrocardiogram.
J Electrocardiol
; 50(6): 781-786, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28903861
11.
A computer-human interaction model to improve the diagnostic accuracy and clinical decision-making during 12-lead electrocardiogram interpretation.
J Biomed Inform
; 64: 93-107, 2016 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-27687552
12.
Human factors analysis of the CardioQuick Patch®: A novel engineering solution to the problem of electrode misplacement during 12-lead electrocardiogram acquisition.
J Electrocardiol
; 49(6): 911-918, 2016.
Artigo
em Inglês
| MEDLINE | ID: mdl-27662775
13.
α2A-Adrenergic receptor polymorphism potentiates platelet reactivity in patients with stable coronary artery disease carrying the cytochrome P450 2C19*2 genetic variant.
Arterioscler Thromb Vasc Biol
; 34(6): 1314-9, 2014 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-24723553
14.
Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses.
J Electrocardiol
; 48(6): 995-9, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26341646
15.
Improved recording of atrial activity by modified bipolar leads derived from the 12-lead electrocardiogram.
J Electrocardiol
; 48(6): 1017-21, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26410197
16.
Thresholds for platelet reactivity to predict clinical events after coronary intervention are different in patients with and without diabetes mellitus.
Platelets
; 25(5): 348-56, 2014.
Artigo
em Inglês
| MEDLINE | ID: mdl-23971913
17.
Intravascular Ultrasound vs. Fractional Flow Reserve for Percutaneous Coronary Intervention Optimization in Long Coronary Artery Lesions.
Diagnostics (Basel)
; 13(18)2023 Sep 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37761287
18.
Effects of ticagrelor and prasugrel on coronary microcirculation in elective percutaneous coronary intervention.
Heart
; 110(2): 115-121, 2023 Dec 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-37316163
19.
Increased platelet reactivity in HIV-1-infected patients receiving abacavir-containing antiretroviral therapy.
J Infect Dis
; 204(8): 1202-10, 2011 Oct 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-21917893
20.
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).
Eur Heart J Digit Health
; 3(2): 125-140, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-36713011