Concepedia

Author

Stephanie Helman

University of PittsburghORCID

Also Known As

Al-Zaiti, Salah S., Helman, Stephanie, S. Helman, Stephanie Helman, Stephanie M. Helman

30

Publications

432

Citations

9

H-Index

31

Concepts

All Affiliations

University of PittsburghPhilips (United States)University of Pittsburgh Medical CenterNorth York General HospitalHarvard University
SH

About

Stephanie Helman is an author at University of Pittsburgh specializing in medicine, patient safety, and emergency medicine.

Top Concepts

#ConceptH-IndexPublicationsCitations

1

Medicine

4

4

82

2

Nursing

2

2

46

3

Engineering

1

1

17

4

Health Sciences

1

1

19

5

Public Health

1

1

19

Stephanie Helman

×

8

Publications

360

Citations

8

H-Index

YearCitations

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

Salah S. Al‐Zaiti, Christian Martin‐Gill, Jessica K. Zègre‐Hemsey,

Nature Medicine

2023

231

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

Stephanie Helman, Martha Ann Terry, Tiffany Pellathy,

International Journal of Medical Informatics

2021

27

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, Jennifer K. Peterson,

Cardiology in the Young

2023

22

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

Stephanie Helman, Amy Jo Lisanti, A R D Adams,

Journal of Nursing Care Quality

2015

19

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

Ziad Faramand, Stephanie Helman, Abdullah Ahmad,

Journal of Electrocardiology

2021

19

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

Zeineb Bouzid, Ziad Faramand, Richard E. Gregg,

Journal of Electrocardiology

2021

17

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, Tiffany Pellathy,

Applied Clinical Informatics

2023

14

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

Zeineb Bouzid, Ervin Sejdić, Christian Martin‐Gill,

European Heart Journal

2025

11

Page 1