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Heart Rhythm|March 11, 2022
Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping reviewZeineb Bouzid, Salah S Al-Zaiti, Raymond Bond, et al.Progress in Biomedical Engineering (Bristol, England)|September 26, 2025
Physiology and enabling technologies for quantitative assessment of survivability during cold water immersion and rewarming: a reviewSina Masoumi Shahrbabak, Zeineb Bouzid, Omer T Inan, et al.Research in Nursing & Health|November 25, 2021
Your neighborhood matters: A machine-learning approach to the geospatial and social determinants of health in 9-1-1 activated chest painZiad Faramand, Mohammad Alrawashdeh, Stephanie Helman, et al.Frontiers in Physiology|June 3, 2026
Quantifying changes in triaxial seismocardiography variability due to sub-optimal volume statusGabriela I Cestero, Zeineb Bouzid, Afra Nawar, et al.Journal of Electrocardiology|August 1, 2021
Novel ECG features and machine learning to optimize culprit lesion detection in patients with suspected acute coronary syndromeZeineb Bouzid, Ziad Faramand, Richard E Gregg, et al.Nature Communications|August 10, 2020
Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogramSalah Al-Zaiti, Lucas Besomi, Zeineb Bouzid, et al.Journal of the American Heart Association|January 18, 2021
In Search of an Optimal Subset of ECG Features to Augment the Diagnosis of Acute Coronary Syndrome at the Emergency DepartmentZeineb Bouzid, Ziad Faramand, Richard E Gregg, et al.Heart & Lung : the Journal of Critical Care|May 29, 2023
Unsupervised machine learning identifies symptoms of indigestion as a predictor of acute decompensation and adverse cardiac events in patients with heart failure presenting to the emergency departmentKarina Kraevsky-Phillips, Susan M Sereika, Zeineb Bouzid, et al.Annals of Emergency Medicine|October 17, 2022
Incorporation of Serial 12-Lead Electrocardiogram With Machine Learning to Augment the Out-of-Hospital Diagnosis of Non-ST Elevation Acute Coronary SyndromeZeineb Bouzid, Ziad Faramand, Christian Martin-Gill, et al.European Heart Journal. Digital Health|May 22, 2026
Novel machine learning fusion architectures integrating electrocardiogram representations: applications to acute coronary event detectionRui Qi Ji, Nathan T Riek, Tanmay Gokhale, et al.Pageof 2