Abdallah Malkawi

Researcher

UAMS
Last publication 2023 Last refreshed 2026-05-09

unknown

4 h-index 9 pubs 98 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Abdallah Malkawi's research centers on the application of artificial intelligence and machine learning in cardiovascular disease. His work investigates the use of these technologies for risk prediction, precision prevention, and stratifying cardiovascular risk. Malkawi has also published research examining the prognostic value of cardiac magnetic resonance imaging in heart failure with reduced ejection fraction, specifically focusing on right ventricular parameters. His publications include studies on the significance of electrocardiography findings in patients with suspected coronary artery disease and the role of vasodilator therapy in acute heart failure. Malkawi collaborates with researchers at the University of Arkansas for Medical Sciences, including Subhi J. Al'Aref, Munthir Mansour, Srikanth Vallurupalli, and Omar Alqaisi, with whom he has co-authored multiple publications.

Metrics

  • h-index: 4
  • Publications: 9
  • Citations: 98

Selected Publications

  • Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches (2023)
    20 citations DOI OpenAlex
  • Abstract 15427: Reduction of Epicardial Fat, Clinical Risk Factors & Symptomatology in Paroxysmal AF Patient With Severe Aortic Stenosis and Metabolic Syndrome via Mobile Cardiometabolic Health & Weight Loss Program (2022)
    DOI OpenAlex
  • Reply to: Letter to the Editor regarding ‘Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy’ (2022)
    7 citations DOI OpenAlex
  • Cardiac magnetic resonance for prophylactic implantable-cardioverter defibrillator therapy international study: prognostic value of cardiac magnetic resonance-derived right ventricular parameters substudy (2022)
    17 citations DOI OpenAlex
  • Significance of indeterminate and abnormal stress electrocardiography despite normal imaging in patients with suspected coronary artery disease – An analysis of the PROMISE trial (2022)
    3 citations DOI OpenAlex
  • Artificial Intelligence-Based Cardiovascular Risk Stratification (2022)
    1 citation DOI OpenAlex
  • Current and Future Applications of Artificial Intelligence in Coronary Artery Disease (2022)
    39 citations DOI OpenAlex
  • Role of Vasodilator Therapy in Acute Heart Failure (2021)
    2 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

69 Collaborators 37 Institutions 6 Countries

Top Collaborators

View profile →
View profile →
View profile →
View profile →
View profile →

Similar Researchers

Based on overlapping research topics

Xinze Li University of Arkansas at Fayetteville
Advanced Neural Network Applications Medical Imaging Techniques and Applications Machine Learning Applications
Good match 4 shared topics
Lyle Burdine University of Arkansas for Medical Sciences
Advanced Neural Network Applications Medical Imaging Techniques and Applications Machine Learning Applications
Good match 4 shared topics
Duc Le University of Arkansas at Fayetteville
Advanced Neural Network Applications Cardiovascular Function and Risk Factors Medical Imaging Techniques and Applications
Good match 3 shared topics
Kalai Sivakumar University of Arkansas for Medical Sciences
Advanced Neural Network Applications Cardiovascular Function and Risk Factors Machine Learning Applications
Good match 4 shared topics
Nhat-Tan Bui University of Arkansas at Fayetteville
Advanced Neural Network Applications Cardiovascular Function and Risk Factors Medical Imaging Techniques and Applications
Good match 4 shared topics
William F. Griffin University of Arkansas for Medical Sciences
Advanced Neural Network Applications Cardiovascular Function and Risk Factors Medical Imaging Techniques and Applications
Good match 4 shared topics