Jean Bismuth, MD

Assistant Professor of Cardiovascular Surgery, Institute for Academic Medicine
Assistant Clinical Member, Research Institute
Houston Methodist
Weill Cornell Medical College


Dr. Bismuth received his medical degree from Copenhagen University in Copenhagen, Denmark and completed his surgical residency at The Brooklyn Hospital Center. Subsequently, he completed his Vascular Fellowship at Baylor College of Medicine in Houston.

Dr. Bismuth is an active member of professional societies including The Society for Vascular Surgery, American College of Surgeons, American Medical Association, The Michael E. DeBakey International Surgical Society, The Danish Medical Association, and the Peripheral Vascular Surgery Society.

Dr. Bismuth is the recipient of a Society for Vascular Surgery grant and is a national PI for two major clinical trials in the US. His is also the recipient of the Dyer Fellowship Award to support his research in vascular surgery robotics, and imaging and computational fluid dynamics.

Description of Research

Dr. Bismuth’s clinical interests include the treatment of patients with aortic disease, carotid disease, mesenteric disease, venous disease, and lower extremity occlusive disease. He also has expertise in dialysis access and arterial and venous malformations.

His research focuses on robotics in vascular surgery, imaging in vascular surgery, plaque morphology and lipids in atherosclerosis, and preventive and medical interventions in vascular surgery. He also has basic science research programs in robotic aortic surgery and dynamic MRA imaging of aortic dissections.

Areas Of Expertise

Cardiovascular disease Robotics Surgery Imaging
Education & Training

Clinical Fellowship
Internship , Gentofte University Hospital
MD , Kobenhavns University

Magnetic resonance venography and three-dimensional image fusion guidance provide a novel paradigm for endovascular recanalization of chronic central venous occlusion
Schwein, A, Lu, T, Chinnadurai, P, Kitkungvan, D, Shah, DJ, Chakfe, N, Lumsden, AB & Bismuth, J 2017, Journal of vascular surgery. Venous and lymphatic disorders, vol 5, no. 1, pp. 60-69. DOI:

Robotic-Assisted Coil Embolization of Ascending Aortic Pseudoaneurysm
Lu, T, Owji, S, Chinnadurai, P, Loh, TM, Schwein, A, Lumsden, AB & Bismuth, J 2016, Annals of Thoracic Surgery, vol 102, no. 5, pp. e451-e453. DOI:

Smoothness of Surgical Tool Tip Motion Correlates to Skill in Endovascular Tasks
Estrada, S, Duran, C, Schulz, D, Bismuth, J, Byrne, MD & Omalley, MK 2016, IEEE Transactions on Human-Machine Systems, vol 46, no. 5, 7462178, pp. 647-659. DOI:

Feasibility of three-dimensional magnetic resonance angiography-fluoroscopy image fusion technique in guiding complex endovascular aortic procedures in patients with renal insufficiency
Schwein, A, Chinnadurai, P, Shah, DJ, Lumsden, AB, Bechara, CF & Bismuth, J 2016, Journal of Vascular Surgery. DOI:

Imagerie de la dissection aortique de type B : ce que veut savoir le chirurgien avant et après l'intervention
Ohana, M, Labani, A, Georg, Y, Jeung, MY, Thaveau, F, Schwein, A, Karmonik, C, Bismuth, J, Chakfé, N & Roy, C 2016, Journal des Maladies Vasculaires, vol 41, no. 4, pp. 260-271. DOI:

E-selectin-targeting delivery of microRNAs by microparticles ameliorates endothelial inflammation and atherosclerosis
Ma, S, Tian, XY, Zhang, Y, Mu, C, Shen, H, Bismuth, J, Pownall, HJ, Huang, Y & Wong, WT 2016, Scientific Reports, vol 6, 22910. DOI:

Iliac Limb Perigraft Access with Robotic Catheter Assistance for Type 2 Endoleak Embolization
Schwein, A, Chinnadurai, P & Bismuth, J 2016, Annals of Vascular Surgery. DOI:

Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease
Brunner, G, Bismuth, J, Nambi, V, Ballantyne, CM, Taylor, AA, Lumsden, AB, Morrisett, JD & Shah, DJ 2016, Medical and Biological Engineering and Computing, pp. 1-15. DOI:

The model for Fundamentals of Endovascular Surgery (FEVS) successfully defines the competent endovascular surgeon
Duran, C, Estrada, S, OMalley, M, Sheahan, MG, Shames, ML, Lee, JT & Bismuth, J 2015, Journal of Vascular Surgery, vol 62, no. 6, pp. 1660-1666.e3. DOI:

Flexible robotics with electromagnetic tracking improves safety and efficiency during in vitro endovascular navigation
Schwein, A, Kramer, B, Chinnadurai, P, Walker, S, OMalley, M, Lumsden, A & Bismuth, J 2015, Journal of Vascular Surgery. DOI:

A Rising Generation of Diversity in the Vascular Surgery Workforce
Itoga, NK, Woo, K, Bismuth, J, Bechara, CF, Grenon, M, Mitchell, E & Zhou, W 2015, Annals of Vascular Surgery, vol 29, no. 7, pp. 1484-1486. DOI:

Value of C-Arm Cone Beam Computed Tomography Image Fusion in Maximizing the Versatility of Endovascular Robotics: Vascular and Endovascular Surgery Society Annual Meeting, January 29, 2015.
Chinnadurai, P, Duran, C, Al-Jabbari, O, Abu Saleh, WK, Lumsden, A & Bismuth, J 2016, Annals of Vascular Surgery, vol 30, pp. 138-148. DOI:

Kinematics effectively delineate accomplished users of endovascular robotics with a physical training model
Duran, C, Estrada, S, OMalley, M, Lumsden, AB & Bismuth, J 2015, Journal of Vascular Surgery, vol 61, no. 2, pp. 535-541. DOI:

A Semi-automated image segmentation approach for computational fluid dynamics studies of aortic dissection
Anderson, JR, Karmonik, C, Georg, Y, Bismuth, J, Lumsden, AB, Schwein, A, Ohana, M, Thaveau, F & Chakfe, N 2014, . in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944680, IEEE, pp. 4727-4730, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 26-30 August. DOI:

A randomized, controlled animal trial demonstrating the feasibility and safety of the Magellan™ endovascular robotic system
Duran, C, Lumsden, AB & Bismuth, J 2014, Annals of Vascular Surgery, vol 28, no. 2, pp. 470-478. DOI:

Training and performance analysis: Robotics as a tool for training and assessment of surgical skill
O’Malley, MK, Celik, O, Huegel, JC, Byrne, MD, Bismuth, J, Dunkin, BJ, Goh, AC & Miles, BJ 2014, . in Computational Surgery and Dual Training: Computing, Robotics and Imaging. Springer New York, pp. 365-376. DOI:

Assessment of hemodynamics in debakey type III aortic dissections for planning surgical interventions and to understand post-treatment changes
Karmonik, C , Bismuth, J, Davies, MG, Shah, DJ & Lumsden, AB 2014, . in Computational Surgery and Dual Training: Computing, Robotics and Imaging. Springer New York, pp. 241-256. DOI:

Open arterial revascularization of the critically ischemic foot using arterial homograft
Naoum, JJ, Bismuth, J, El-Sayed, HF, Davies, MG, Peden, EK & Lumsden, AB 2014, Journal Medical Libanais, vol 62, no. 3, pp. 125-129.

Validated assessment tool paves the way for standardized evaluation of trainees on anastomotic models
Duran, CA, Shames, M, Bismuth, J & Lee, JT 2014, Annals of Vascular Surgery, vol 28, no. 1, pp. 115-121. DOI:

CFD challenge: Predicting patient-specific hemodynamics at rest and stress through an aortic coarctation
Karmonik, C, Brown, A, Debus, K, Bismuth, J & Lumsden, AB 2014, . in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 8330 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8330 LNCS, Springer Verlag, pp. 94-101, 4th International Workshop on Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, STACOM 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, 26-26 September. DOI: