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Mohammed Al-Omran

MD, FRCSC, MSc

Scientist

Email: Mohammed.Al-Omran@unityhealth.to
Tel: 416-864-6047

Research Programs

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. Alanezi, T, Li, B, Al-Omran, L, Alshabanah, L, Alkhayal, NK, Verma, M et al.. Machine learning in the development and application of patient-reported outcome measures (PROMs) for surgical patients: a systematic review. J Patient Rep Outcomes. 2026; :. doi: 10.1186/s41687-026-00992-8. PubMed PMID:41533277 .
  2. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Al-Omran, L, Wijeysundera, DN et al.. Predicting 1-year successful clinical use of an arteriovenous access for hemodialysis using machine learning. NPJ Digit Med. 2025;9 (1):15. doi: 10.1038/s41746-025-02187-9. PubMed PMID:41345783 PubMed Central PMC12779959.
  3. 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 .
  4. 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.
  5. 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 .
  6. 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.
  7. 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.
  8. 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 .
  9. 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.
  10. 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 .
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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