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Our analysis of a novel urinary biomarker for peripheral artery disease: frontiersin.org/articles/10.33… Frontiers in Cardiovascular Medicine UofT Vascular Surgery

Canadian vascular surgeons are excited about the potential for AI/ML to improve patient care, research, and education. Here are the results of our national survey: sciencedirect.com/science/articl… JVS-Cases Innovations and Techniques Charles de Mestral Muhammad Mamdani Mohammed Al-Omran UofT Vascular Surgery Temerty Centre for AI in Medicine (T-CAIREM)

Thank you CSVS for the opportunity to share this work!

Thank you for featuring this work on racial disparities in the care of patients with ruptured abdominal aortic aneurysms. Much more work to be done to support underrepresented populations in getting timely access to urgent vascular care.

Thank you Vascular SVS for the opportunity to share this work at #VAM23!

U of T Vascular Surgery residents at #VAM2023! UofT Vascular Surgery Tiam Feridooni Ben Li Daniyal Nasir Mahmood Asha Behdinan Arshia Javidan

#VAM2023 x Toronto Vascular was a blast! Lots of networking, cutting-edge research, and captivating talks. Can’t wait until next year! Lauren Gordon Julia Fayanne Chen Arshia Javidan Thomas Forbes Daniyal Nasir Mahmood Ben Li Tiam Feridooni

Congrats to the best presentation award winners from our research day: Shaidah Deghan, MSc. MD FRCSC on the role of gender in vascular surgery training, Ben Li on machine learning for predicting outcomes in carotid disease and Arshia Javidan on statistical fragility in vascular surgery RCTs!

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)

We used machine learning to predict outcomes following open aortoiliac revascularization. Read about the development/evaluation of our algorithm. UofT Vascular Surgery Temerty Centre for AI in Medicine (T-CAIREM) pubmed.ncbi.nlm.nih.gov/37454952/

That’s a wrap for #CSVS2023! Congratulations to Dr. Roche-Nagle and Dr. De Mestral for winning the clinician-investigator awards, Ben Li for winning the resident research award, and Lisa Vi for winning the student research award! CSVS U of T Department of Surgery

Thank you CSVS for the opportunity to present our work!

Thank you AudibleBleeding for the opportunity to discuss our paper on using machine learning to predict outcomes following carotid endarterectomy!

Our team recent work “Predicting outcomes following lower extremities revascularization using machine learning” Ben Li Charles de Mestral 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

Another fantastic research day with the division of vascular surgery. Thank you to Dr. Moore from Calgary for being our guest speaker! Outstanding talk!

📢 The Schwartz Reisman Institute for Technology and Society is delighted to announce its 2024 fellowship recipients, welcoming four faculty fellows and 15 graduate fellows from across the U of T Research community. 🎉 💡 Meet our new fellows: uoft.me/ay1

Amazing editorial board-thank you for your service! Also huge thanks/congrats to our outgoing “editor-in-training” Eric Pillado, MD MBA MS who did great things with our Instagram presence and welcome to our new EIT Ben Li from U of T Vascular Surgery Residents. Oh and congrats to Joseph V. Lombardi MD MBA on his big win.

Toronto at #VAM24! Vascular SVS

🎉 Congratulations to T-CAIREM member Ben Li on being the first author of this new study! • Prediction of PAD prognosis (U of T Department of Surgery Institute of Medical Science) dovepress.com/prediction-of-…