Stephen Smith

Professor

University of Minnesota

United States

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Stephen Smith is a Professor at the University of Minnesota, USA. His research focuses on advancements in electrocardiogram interpretation, artificial intelligence applications in cardiology, and the diagnostic challenges in acute cardiac conditions. His recent publications explore topics such as the impact of computer-interpreted ECGs on practice, the identification of myocardial infarctions, and the analytical performance of cardiac troponin assays.

Articles (8)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2020

Collaborators (1)

Emma Hall

Gold Coast University Hospital

AUSTRALIA

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Stephen Smith

Research Interests

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Articles (8)

Artificial Intelligence–Powered Electrocardiogram Detecting Culprit Vessel Blood Flow Abnormality: AI-ECG TIMI Study Design and Rationale

No false negative paradox in STEMI-NSTEMI diagnosis

Computer-Interpreted Electrocardiograms: Impact on Cardiology Practice

Hyperacute T-waves Can Be a Useful Sign of Occlusion Myocardial Infarction if Appropriately Defined

Analytical performance comparing siemens whole blood point of care Atellica VTLi to the central laboratory plasma Atellica IM high-sensitivity cardiac troponin I assays

Single High-Sensitivity Point-of-Care Whole-Blood Cardiac Troponin i Measurement to Rule Out Acute Myocardial Infarction at Low Risk

Interobserver variability among experienced electrocardiogram readers to diagnose acute thrombotic coronary occlusion in patients with out of hospital cardiac arrest: Impact of metabolic milieu and angiographic culprit

Do not disregard the initial 12 lead ECG after out-of-hospital cardiac arrest: It predicts angiographic culprit despite metabolic abnormalities

Collaborators (1)

Emma Hall

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