Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG

We expect this framework to achieve fair diagnostic models across diverse demographic populations globally and be generalizable to other outcomes.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-08-11
DOI
https://doi.org/10.1109/tbme.2025.3597527
Primary Topic
ECG Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG

Murat Akçakaya, Karina Kraevsky-Phillips, Salah S. Al‐Zaiti, Clifton W. Callaway et al.
IEEE Transactions on Biomedical Engineering
ECG Monitoring and Analysis
article

Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG

Murat Akçakaya, Karina Kraevsky-Phillips, Salah S. Al‐Zaiti, Clifton W. Callaway, Ervin Sejdić, Tanmay Gokhale, Rui Qi Ji, Christian Martin‐Gill, Samir Saba, Jessica K. Zègre‐Hemsey, Zeineb Bouzid, Nathan T. Riek, Gilles Clermont
article en

Abstract

We expect this framework to achieve fair diagnostic models across diverse demographic populations globally and be generalizable to other outcomes.

IEEE Transactions on Biomedical EngineeringVol. 73(3)
University of North Carolina at Chapel Hill (US), Georgia Institute of Technology (US), University of Pittsburgh (US), University of Toronto (CA), North York General Hospital (CA), University of Pittsburgh Medical Center (US), University of Rochester (US)
Openalex Percentile: Top 68%
ECG Monitoring and Analysis
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Adversarial Debiasing for Equitable and Fair Detection of Acute Coronary Syndrome Using 12-Lead ECG — Murat Akçakaya, Karina Kraevsky-Phillips, et al. · IEEE Transactions on Biomedical Engineering (2025) | TGRS Research Map | TGRS