
Mohammed Al-Omran
@dr_alomran
Vascular Surgeon
ID: 331794190
08-07-2011 18:38:18
132 Tweet
997 Followers
147 Following



Our team recent work on “Trends in Operative Case Volumes of Canadian Vascular Surgery Trainees” Musaad AlHamzah • مساعد الحمزة Mohamad A Hussain MD elisa greco A.Z. Jean Jacob-Brassard Thomas Forbes UofT Vascular SurgeryJournal of Vascular Surgery pubmed.ncbi.nlm.nih.gov/34461218/

Our team recent work on ‘Gender differences in faculty rank among academic physicians: a systematic review and meta-analysis’ Ben Li Jean Jacob-Brassard Fahima Dossa, MD PhD Konrad Salata elisa greco Nancy Baxter MD PhD UofT Vascular Surgery Unity Health Toronto BMJ_Open bmjopen.bmj.com/content/11/11/…


"Females are associated with more severe disease at presentation in vascular surgery patients" A systematic review and meta-analysis Tiam Feridooni Dr. Cesar Cuen Ojeda Mohammed Al-Omran #VascTwitter Journal of Vascular Surgery pubmed.ncbi.nlm.nih.gov/35257798/


Honoured to receive the 2022 Institute of Medical Science Faculty Recognition Awards for Strong Mentorship and Citizenship also Congratulations to my outstanding student @muzammilsyed_7 for receiving the Whiteside Student Award #IMSSciDay2022 Institute of Medical Science UofT Vascular Surgery Unity Health Toronto


Read about the state of ML research in vascular surgery in our systematic review and critical appraisal of the literature nature.com/articles/s4174… Tiam Feridooni Dr. Cesar Cuen Ojeda @vasc_surg Muhammad Mamdani Mohammed Al-Omran Temerty Centre for AI in Medicine (T-CAIREM) UofT Vascular Surgery


Today's featured researcher for #DiabetesAwarenessMonth is Dr. Mohammed Al-Omran (Mohammed Al-Omran). Dr. Al-Omran is a vascular surgeon who is working to reduce the risk of diabetes-related amputation. diabetesaction.ca/people/mohamme…


We developed a machine learning algorithm to predict outcomes following carotid endarterectomy. Read our analysis here: pubmed.ncbi.nlm.nih.gov/37211142/ UofT Vascular Surgery Temerty Centre for AI in Medicine (T-CAIREM)

Mohamad A Hussain MD Douglas Lee Mohammed Al-Omran and colleagues show how machine learning models trained on preop data more accurately predict 30‐day outcomes following CEA compared with existing tools. #AHAJournals ahajrnls.org/3tHAJSC


Our team recent work “Predicting outcomes following lower extremities revascularization using machine learning” Ben Li @vasc_surg Mohamad A Hussain MD UofT Vascular Surgery @Unityhealthto link.springer.com/10.1038/s41598…

Machine learning algorithms can accurately predict outcomes following lower extremity endovascular revascularization. #AHAJournals Ben Li Mohammed Al-Omran UofT Vascular Surgery ahajrnls.org/4bt9Rqs



#Colchicine for CV & limb risk reduction in #PAD: emulation of target trials. Paper from #VESELab Patrick Heindel, MD, MPH @JJFitzgibbon BWH Vascular Surgery CSPH in collaboration w/ Eric Secemsky MD MSc Dr. Deepak L. Bhatt Mohammed Al-Omran Subodh Verma إبراهيم بن علي المغلوث | Ibrahim Almaghlouth CAUSALab. academic.oup.com/ehjopen/articl…


Machine learning models can accurately predict outcomes following thoracic and complex endovascular aortic aneurysm repair. #AHAJournals Ben Li Mohammed Al-Omran UofT Vascular Surgery ahajrnls.org/3Fx8UTh


Pleased to share our latest research on how the public perceives Brain-Computer Interfaces (BCIs), using over a decade of data from X (formerly Twitter). Supervised by Dr. Naif M. Alotaibi Naif M.Alotaibi / Dr. Lior Elkaim Lior M Elkaim and co-authored by an amazing multidisciplinary

