Matthew Segar, MD

Dr. Segar is a cardiology fellow at The Texas Heart Institute. He graduated from Internal Medicine residency at UT Southwestern Medical Center and received his medical degree from the Indiana University School of Medicine. He also graduated with a degree in computer science with Honors from Bucknell University and a Masters of Science in Bioinformatics from Indiana University. His current research focuses on using machine learning and artificial intelligence to improve risk prediction and tailor medical therapies to identify and treat heart failure.

See Publications

Texas Heart Institute Positions

Current Projects


  • Undergraduate:

    Bucknell University

  • Postgraduate:

    Indiana University

  • Medical School:

    Indiana University

  • Residency:

    The University of Texas Southwestern Medical Center


Segar, M. W., Zhang, A., Paisley, R. D. et al. (2023). Risk stratification in patients who underwent percutaneous left atrial appendage occlusion. Am J Cardiol 200, 50–56.
Raygor, V., Ayers, C., Segar, M. W. et al. (2023). Impact of family history of premature coronary artery disease on noninvasive testing in stable chest pain. J Am Heart Assoc 12, e029266.
Khan, M. S., Segar, M. W., Usman, M. S. et al. (2023). Effect of canagliflozin on heart failure hospitalization in diabetes according to baseline heart failure risk. JACC Heart Fail, S2213-1779(23)00186–5.
Khan, M. S., Singh, S., Segar, M. W. et al. (2023). Polypharmacy and optimization of guideline-directed medical therapy in heart failure: The GUIDE-IT trial. JACC Heart Fail, S2213-1779(23)00137–3.
Patel, K. V., Khan, M. S., Segar, M. W. et al. (2022). Optimal cardiometabolic health and risk of heart failure in type 2 diabetes: an analysis from the Look AHEAD trial. Eur J Heart Fail 24, 2037–2047.
Segar, M. W., Keshvani, N., Rao, S. et al. (2022). Race, social determinants of health, and length of stay among hospitalized patients with heart failure: An analysis from the get with the guidelines-heart failure registry. Circ Heart Fail 15, e009401.
Stevens, S. R., Segar, M. W., Pandey, A. et al. (2022). Development and validation of a model to predict cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke in patients with type 2 diabetes mellitus and established atherosclerotic cardiovascular disease. Cardiovasc Diabetol 21, 166.
Shah, S., Segar, M. W., Kondamudi, N. et al. (2022). Supranormal left ventricular ejection fraction, stroke volume, and cardiovascular risk: Findings from population-based cohort studies. JACC Heart Fail 10, 583–594.
Segar, M. W., Hall, J. L., Jhund, P. S. et al. (2022). Machine learning-based models incorporating social determinants of health vs traditional models for predicting in-hospital mortality in patients with heart failure. JAMA Cardiol.
Segar, M. W., Patel, K. V., Hellkamp, A. S. et al. (2022). Validation of the WATCH-DM and TRS-HFDM Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A Multicohort Analysis. J Am Heart Assoc 11, e024094.

Recent News

The Texas Heart Institute Doctors Publish Analysis of the MOMENTUM 3 Trial in the Journal of Cardiac Failure

The Texas Heart Institute cardiology fellows Drs. Isabel C. Balachandran (‘23) and Matthew Segar co-authored an article titled “Conditional Survival after...

The Texas Heart Institute Research Symposium 2022: A Day to Celebrate Innovation, Collaboration, and Translation

During its annual day-long Research Symposium on October 20, 2022, The Texas Heart Institute community came together in the Denton...

Dr. Matt Segar Named Winner for AHA Samuel A. Levine Early Career Clinical Investigator Award

Matthew Segar, MD, MS, a Texas Heart Institute Cardiology Fellow, has been selected as the winner of the Samuel A....