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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. 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; :. doi: 10.1093/bjs/znad287. PubMed PMID:37710397 .
  2. Li, B, Aljabri, B, Verma, R, Beaton, D, Eisenberg, N, Lee, DS et al.. Using machine learning to predict outcomes following open abdominal aortic aneurysm repair. J Vasc Surg. 2023; :. doi: 10.1016/j.jvs.2023.08.121. PubMed PMID:37634621 .
  3. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning. J Vasc Surg. 2023; :. doi: 10.1016/j.jvs.2023.07.006. PubMed PMID:37454952 .
  4. Li, B, Verma, R, Beaton, D, Tamim, H, Hussain, MA, Hoballah, JJ et al.. Predicting Outcomes Following Endovascular Abdominal Aortic Aneurysm Repair Using Machine Learning. Ann Surg. 2023; :. doi: 10.1097/SLA.0000000000005978. PubMed PMID:37389890 .
  5. Li, B, Beaton, D, Eisenberg, N, Lee, DS, Wijeysundera, DN, Lindsay, TF et al.. Using machine learning to predict outcomes following carotid endarterectomy. J Vasc Surg. 2023; :. doi: 10.1016/j.jvs.2023.05.024. PubMed PMID:37211142 .
  6. Zamzam, A, McLaren, AM, Ram, E, Syed, MH, Rave, S, Lu, SH et al.. A novel Canadian multidisciplinary acute care pathway for people hospitalised with a diabetic foot ulcer. Int Wound J. 2023;20 (8):3331-3337. doi: 10.1111/iwj.14214. PubMed PMID:37150835 PubMed Central PMC10502294.
  7. Jacob-Brassard, J, Al-Omran, M, Stukel, TA, Mamdani, M, Lee, DS, Papia, G et al.. The influence of diabetes on temporal trends in lower extremity revascularisation and amputation for peripheral artery disease: A population-based repeated cross-sectional analysis. Diabet Med. 2023;40 (6):e15056. doi: 10.1111/dme.15056. PubMed PMID:36721971 .
  8. Jacob-Brassard, J, Al-Omran, M, Stukel, TA, Mamdani, M, Lee, DS, de Mestral, C et al.. Regional variation in lower extremity revascularization and amputation for peripheral artery disease. J Vasc Surg. 2023;77 (4):1127-1136. doi: 10.1016/j.jvs.2022.12.032. PubMed PMID:36681257 .
  9. Heindel, P, Fitzgibbon, JJ, Feliz, JD, Hentschel, DM, Burke, SK, Al-Omran, M et al.. Evaluating national guideline concordance of recurrent interventions after radiocephalic arteriovenous fistula creation. J Vasc Surg. 2023;77 (4):1206-1215.e2. doi: 10.1016/j.jvs.2022.12.017. PubMed PMID:36567000 PubMed Central PMC10038866.
  10. Heindel, P, Dey, T, Feliz, JD, Hentschel, DM, Bhatt, DL, Al-Omran, M et al.. Predicting radiocephalic arteriovenous fistula success with machine learning. NPJ Digit Med. 2022;5 (1):160. doi: 10.1038/s41746-022-00710-w. PubMed PMID:36280681 PubMed Central PMC9592575.
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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