fbpx
Mehdi Razavi, MD

Dr. Razavi is involved with numerous clinical trials assessing the efficacy of cutting edge technology in the field of cardiac electrophysiology. His innovations have been featured in Scientific American, InnovationMap, Voice of America News, and Texas Heart Institute News. In addition, he develops, oversees, and executes long-term collaborations with engineering colleagues at The Texas Heart Institute’s Cardiovascular Research Laboratory, and with exceptional collaborators at Rice University, the University of Houston, Texas A&M University, and UCLA. Show full bio

Dr. Razavi has founded multiple medical device startups for the treatment of arrhythmia and other cardiovascular conditions. Additionally, Dr. Razavi has supervised the development of a number of technologies in collaboration with Rice University and Texas A&M and has 18 patents to his name.

See Publications

Texas Heart Institute Positions

Current Projects

Interests

Education

  • Medical School:

    Medical College Of Pennsylvania

  • Residency:

    Mayo Graduate School of Medicine

  • Fellowships:

    Mayo Graduate School of Medicine

Academic & Clinical Affiliations

Certifications

  • American Board of Internal Medicine, Cardiology (2001, 2011)
  • American Board of Internal Medicine, Clinical Cardiology Electrophysiology (2002, 2012)

Honors, Awards and Memberships

Publications

Razavi, M., Ziyadidegan, S., Mahmoudzadeh, A. et al. (2024). Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review. JMIR Ment Health 11, e53714. https://doi.org/10.2196/53714.
Gao, S., Liu, H., Post, A. et al. (2024). Enhancing boundary detection of radiofrequency ablation lesions through photoacoustic mapping. Sci Rep 14, 19370. https://doi.org/10.1038/s41598-024-68046-x.
Lynch, P. T., Maloof, A., Badjatiya, A. et al. (2024). Mortality in Recipients of Durable Left Ventricular Assist Devices Undergoing Ventricular Tachycardia Ablation. JACC Clin Electrophysiol, S2405-500X(24)00457–2. https://doi.org/10.1016/j.jacep.2024.04.037.
EPMoghaddam, D., Muguli, A., Razavi, M. et al. (2024). A graph-based cardiac arrhythmia classification methodology using one-lead ECG recordings. Intell Syst Appl 22, 200385. https://doi.org/10.1016/j.iswa.2024.200385.
Segar, M. W., Keshvani, N., Singh, S. et al. (2024). Frailty Status Modifies the Efficacy of ICD Therapy for Primary Prevention Among Patients With HF. JACC Heart Fail 12, 757–767. https://doi.org/10.1016/j.jchf.2023.06.009.
Segar, M. W., Marzec, A., Razavi, M. et al. (2023). Incidence, Risk Score Performance, and In-Hospital Outcomes of Postoperative Atrial Fibrillation After Cardiac Surgery. Tex Heart Inst J 50, e238221. https://doi.org/10.14503/THIJ-23-8221.
Mendoza, A., Razavi, M. and Cavallaro, J. R. (2023). Deep Learning System for Left Ventricular Assist Device Candidate Assessment from Electrocardiograms. Comput Cardiol (2010) 50. https://doi.org/10.22489/cinc.2023.180.
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. https://doi.org/10.1016/j.amjcard.2023.05.019.
Kim, S. E., Khawaja, M., Kim, J. A. et al. (2023). Detection of atrial fibrillation in real world setting in patients with cryptogenic stroke and an implantable loop recorder. Pacing Clin Electrophysiol 46, 788–795. https://doi.org/10.1111/pace.14757.
Elgalad, A., Hanafy, A. E., Moctezuma-Ramirez, A. et al. (2023). Use of ethanol injections to create a complete atrioventricular block in a rat model. Surgeries 4, 188–195. https://doi.org/10.3390/surgeries4020020.

Recent News

See All

Dr. Matthew Segar Recognized With DEI Abstract Award From Heart Rhythm Society

Novel Machine Learning Model Improves Prediction of Atrial Fibrillation Risk   The Heart Rhythm Society recently recognized Matthew Segar, MD,...

Read more

Rice University Heartbeat HERoes Take Top Engineering Prize for Collaboration With The Texas Heart Institute

The Heartbeat HERoes recently won the 2024 Woods-Lezar Innovation Award at Rice University’s annual Huff Oshman Engineering Design Kitchen’s (OEDK)...

Read more

Novel Injectable Hydrogel Technology Featured in Drug Discovery News

A recent article in Drug Discovery News highlights a new injectable hydrogel technology and its potential to provide painless defibrillation...

Read more