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, Aljabri, B, Verma, R, Beaton, D, Hussain, MA, Lee, DS et al.. Predicting Outcomes Following Lower Extremity Endovascular Revascularization Using Machine Learning. J Am Heart Assoc. 2024; :e033194. doi: 10.1161/JAHA.123.033194. PubMed PMID:38639373 .
  2. Alanezi, T, Altoijry, A, AlSheikh, S, Al-Mubarak, H, Alhamzah, M, Alomran, F et al.. Predicting the Need for Subclavian Artery Revascularization in Thoracic Endovascular Aortic Repair: A Systematic Review and Meta-analysis. J Vasc Surg. 2024; :. doi: 10.1016/j.jvs.2024.04.023. PubMed PMID:38621636 .
  3. Li, B, Nassereldine, R, Zamzam, A, Syed, MH, Mamdani, M, Al-Omran, M et al.. Development and evaluation of a prediction model for peripheral artery disease related major adverse limb events using novel biomarker data. J Vasc Surg. 2024; :. doi: 10.1016/j.jvs.2024.03.450. PubMed PMID:38599293 .
  4. Dahman, M, Abusulayman, L, Alharbi, N, Joueidi, F, Abdulrahim, O, Al-Omran, M et al.. Open repair of transverse cervical pseudoaneurysm. J Surg Case Rep. 2024;2024 (4):rjae216. doi: 10.1093/jscr/rjae216. PubMed PMID:38572277 PubMed Central PMC10989297.
  5. Li, B, Warren, BE, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B et al.. Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD. JAMA Netw Open. 2024;7 (3):e242350. doi: 10.1001/jamanetworkopen.2024.2350. PubMed PMID:38483388 PubMed Central PMC10940965.
  6. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting outcomes following lower extremity open revascularization using machine learning. Sci Rep. 2024;14 (1):2899. doi: 10.1038/s41598-024-52944-1. PubMed PMID:38316811 PubMed Central PMC10844206.
  7. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B, Verma, R et al.. Using Machine Learning (XGBoost) to Predict Outcomes After Infrainguinal Bypass for Peripheral Artery Disease. Ann Surg. 2024;279 (4):705-713. doi: 10.1097/SLA.0000000000006181. PubMed PMID:38116648 .
  8. Li, B, Eisenberg, N, Beaton, D, Lee, DS, Aljabri, B, Wijeysundera, DN et al.. Using machine learning to predict outcomes following suprainguinal bypass. J Vasc Surg. 2024;79 (3):593-608.e8. doi: 10.1016/j.jvs.2023.09.037. PubMed PMID:37804954 .
  9. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning. J Am Heart Assoc. 2023;12 (20):e030508. doi: 10.1161/JAHA.123.030508. PubMed PMID:37804197 PubMed Central PMC10757546.
  10. Li, B, Aljabri, B, Verma, R, Beaton, D, Eisenberg, N, Lee, DS et al.. Machine learning to predict outcomes following endovascular abdominal aortic aneurysm repair. Br J Surg. 2023;110 (12):1840-1849. doi: 10.1093/bjs/znad287. PubMed PMID:37710397 .
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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