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Minerva Anestesiologica
|
December 17, 2013
A Systematic Review And Individual Patient Data Meta-Analysis On Intraabdominal Hypertension In Critically Ill Patients: The Wake-Up Project World Initiative on Abdominal Hypertension Epidemiology, a Unifying Project (WAKE-Up!)
M L Malbrain, D Chiumello, B M Cesana, et al.
Heart Rhythm
|
February 5, 2025
Ablation of ventricular tachycardia from right ventricular aneurysms in patients with arrhythmogenic cardiomyopathy guided by intracardiac echocardiography
Corentin Chaumont, Adrian M Petzl, Cory M Tschabrunn, et al.
BMC Primary Care
|
January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Kevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
Minerva Anestesiologica
|
March 8, 2014
A systematic review and individual patient data meta-analysis on intra-abdominal hypertension in critically ill patients: the wake-up project. World initiative on Abdominal Hypertension Epidemiology, a Unifying Project (WAKE-Up!)
M L N G Malbrain, D Chiumello, B M Cesana, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing
|
August 10, 2022
Novel insights into the substrate involved in maintenance of ventricular fibrillation: results from continuous multipolar mapping in a canine model
Fatima M Ezzeddine, Robert C Ward, Zhi Jiang, et al.
Journal of Medical Economics
|
July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials
|
October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Nathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
European Heart Journal. Digital Health
|
January 30, 2023
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Heart Rhythm
|
August 29, 2024
Arrhythmic prognosis according to left ventricular systolic dysfunction severity in cardiac sarcoidosis
B Michelle Kim, Daniel Sykora, Andrew N Rosenbaum, et al.
BMC Cancer
|
August 20, 2016
Connect MDS/AML: design of the myelodysplastic syndromes and acute myeloid leukemia disease registry, a prospective observational cohort study
David P Steensma, Medrdad Abedi, Rafael Bejar, et al.
Page
of 15
Search research articles
Search
Showing results (131-140 of 147) with videos related to
Sort By:
Page
of 15
Minerva Anestesiologica
|
December 17, 2013
A Systematic Review And Individual Patient Data Meta-Analysis On Intraabdominal Hypertension In Critically Ill Patients: The Wake-Up Project World Initiative on Abdominal Hypertension Epidemiology, a Unifying Project (WAKE-Up!)
M L Malbrain, D Chiumello, B M Cesana, et al.
Heart Rhythm
|
February 5, 2025
Ablation of ventricular tachycardia from right ventricular aneurysms in patients with arrhythmogenic cardiomyopathy guided by intracardiac echocardiography
Corentin Chaumont, Adrian M Petzl, Cory M Tschabrunn, et al.
BMC Primary Care
|
January 3, 2024
Undertaking multi-centre randomised controlled trials in primary care: learnings and recommendations from the PULsE-AI trial researchers
Kevin G Pollock, Carissa Dickerson, Manjit Kainth, et al.
Minerva Anestesiologica
|
March 8, 2014
A systematic review and individual patient data meta-analysis on intra-abdominal hypertension in critically ill patients: the wake-up project. World initiative on Abdominal Hypertension Epidemiology, a Unifying Project (WAKE-Up!)
M L N G Malbrain, D Chiumello, B M Cesana, et al.
Journal of Interventional Cardiac Electrophysiology : an International Journal of Arrhythmias and Pacing
|
August 10, 2022
Novel insights into the substrate involved in maintenance of ventricular fibrillation: results from continuous multipolar mapping in a canine model
Fatima M Ezzeddine, Robert C Ward, Zhi Jiang, et al.
Journal of Medical Economics
|
July 14, 2022
Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Contemporary Clinical Trials
|
October 22, 2020
Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial
Nathan R Hill, Chris Arden, Lee Beresford-Hulme, et al.
European Heart Journal. Digital Health
|
January 30, 2023
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England
Nathan R Hill, Lara Groves, Carissa Dickerson, et al.
Heart Rhythm
|
August 29, 2024
Arrhythmic prognosis according to left ventricular systolic dysfunction severity in cardiac sarcoidosis
B Michelle Kim, Daniel Sykora, Andrew N Rosenbaum, et al.
BMC Cancer
|
August 20, 2016
Connect MDS/AML: design of the myelodysplastic syndromes and acute myeloid leukemia disease registry, a prospective observational cohort study
David P Steensma, Medrdad Abedi, Rafael Bejar, et al.
Page
of 15