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Stephanie Helman | Researchclopedia

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Stephanie Helman

University of Pittsburgh ORCID

30

Works

447

Citations

9

h-index

9

i10-index

Research Topics

ECG Monitoring and Analysis Cardiac Arrest and Resuscitation Acute Myocardial Infarction Research

Affiliations

Children's Hospital of Philadelphia2015–2019

University of Pittsburgh2021–2025

E Ink (South Korea)2015–2015

May Institute2018–2018

Children's Hospital of Pittsburgh2013–2020

Top Works

Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction

Salah S. Al‐Zaiti,Christian Martin‐Gill,et al.

2023242 citations

Congenital Heart Disease Studies

Cardiac Imaging and Diagnostics

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside

Stephanie Helman,Martha Ann Terry,et al.

202127 citations

Developmental care pathway for hospitalised infants with CHD: on behalf of the Cardiac Newborn Neuroprotective Network, a Special Interest Group of the Cardiac Neurodevelopmental Outcome Collaborative

Amy Jo Lisanti,Dorothy Vittner,et al.

202322 citations

The role of machine learning applications in diagnosing and assessing critical and non-critical CHD: a scoping review

Stephanie Helman,Elizabeth Herrup,et al.

202121 citations

Performance and limitations of automated ECG interpretation statements in patients with suspected acute coronary syndrome

Ziad Faramand,Stephanie Helman,et al.

202119 citations

Just-in-Time Training for High-Risk Low-Volume Therapies

Stephanie Helman,Amy Jo Lisanti,et al.

201519 citations

Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndrome

Zeineb Bouzid,Ziad Faramand,et al.

202117 citations

Engaging Multidisciplinary Clinical Users in the Design of an Artificial Intelligence–Powered Graphical User Interface for Intensive Care Unit Instability Decision Support

Stephanie Helman,Martha Ann Terry,et al.

202315 citations

Electrocardiogram-based machine learning for risk stratification of patients with suspected acute coronary syndrome

Zeineb Bouzid,Ervin Sejdić,et al.

202513 citations