Mohammed Al-Omran

MD, FRCSC, MSc

Scientist

Biography

Dr. Mohammed Al-Omran is a Vascular Surgeon and a Scientist in the Li Ka Shing Knowledge Institute of St. Michael’s Hospital. He is a Professor at the University of Toronto in the Department of Surgery and a Full Member at the Institute of Medical Science (IMS). His research interests include: atherosclerosis bench to bedside with special interest in peripheral arterial disease; clinical epidemiology and health services research with a focus on using large healthcare administrative databases to conduct population-based analyses of individuals with aortic, carotid, and peripheral arterial disease; knowledge translation; and systematic reviews and meta-analyses.

Dr. Al-Omran has published widely in high-impact peer-reviewed journals such as the New England Journal of Medicine, Circulation and the Journal of Vascular Surgery. Dr. Al-Omran has been the recipient of several teaching and research awards, and he has supervised research trainees of all levels including: undergraduate, graduate, and post-graduate fellows. He currently serves as the Head of the Division of Vascular Surgery at St. Michael’s Hospital (2013-present) and his clinical practice is focused on management of rare vascular diseases such as thoracic outlet syndrome and carotid body tumors.

Recent Publications

  1. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Reply. J Vasc Surg. 2025;82 (4):1545-1547. doi: 10.1016/j.jvs.2025.06.037. PubMed PMID:40967721 .
  2. Li, B, Aljabri, B, Beaton, D, Al-Omran, L, Hussain, MA, Lee, DS et al.. Predicting outcomes following endovascular aortoiliac revascularization using machine learning. NPJ Digit Med. 2025;8 (1):475. doi: 10.1038/s41746-025-01865-y. PubMed PMID:40707760 PubMed Central PMC12289885.
  3. Alanezi, T, Li, B, Al-Omran, L, Alshabanah, L, Alkhayal, NK, Verma, M et al.. Surgical Outcomes Through the Patient's Eyes: A Scoping Review of Patient-Reported Outcome Measures in Surgery. J Surg Res. 2025;313 :120-130. doi: 10.1016/j.jss.2025.06.039. PubMed PMID:40669370 .
  4. Almanna, MA, Elkaim, LM, Alvi, MA, Levett, JJ, Li, B, Mamdani, M et al.. Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study. JMIR Form Res. 2025;9 :e60859. doi: 10.2196/60859. PubMed PMID:40561510 PubMed Central PMC12242710.
  5. Alanezi, T, Al-Omran, M. Beyond summarizing: A guide to literature review in vascular surgery. J Vasc Surg Cases Innov Tech. 2025;11 (4):101811. doi: 10.1016/j.jvscit.2025.101811. PubMed PMID:40496667 PubMed Central PMC12148653.
  6. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Predicting mortality risk following major lower extremity amputation using machine learning. J Vasc Surg. 2025;82 (2):617-631.e8. doi: 10.1016/j.jvs.2025.03.198. PubMed PMID:40464726 .
  7. Li, B, Aljabri, B, Beaton, D, Al-Omran, L, Hussain, MA, Lee, DS et al.. Predicting outcomes following open abdominal aortic aneurysm repair using machine learning. Sci Rep. 2025;15 (1):14362. doi: 10.1038/s41598-025-98573-0. PubMed PMID:40274999 PubMed Central PMC12022244.
  8. Li, B, Aljabri, B, Beaton, D, Hussain, MA, Lee, DS, Wijeysundera, DN et al.. Predicting Outcomes Following Carotid Artery Stenting Using Machine Learning. J Endovasc Ther. 2025; :15266028251333670. doi: 10.1177/15266028251333670. PubMed PMID:40249213 .
  9. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B, Al-Omran, L et al.. Using Machine Learning to Predict Outcomes Following Thoracic and Complex Endovascular Aortic Aneurysm Repair. J Am Heart Assoc. 2025;14 (5):e039221. doi: 10.1161/JAHA.124.039221. PubMed PMID:40028848 PubMed Central PMC12132658.
  10. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Using machine learning to predict outcomes following transcarotid artery revascularization. Sci Rep. 2025;15 (1):3924. doi: 10.1038/s41598-024-81625-2. PubMed PMID:39890848 PubMed Central PMC11785798.
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Affiliations & Other Activities

  • Head, Division of Vascular Surgery, St. Michael’s Hospital
  • Professor, Department of Surgery, University of Toronto
  • Associate Member, Institute of Medical Sciences, University of Toronto
  • Professor, Department of Surgery, King Saud University