
Arshia Javidan
@apjavidan
PGY-4 Vascular Surgery @UofTVascular | MD/MSc @uoftmedicine & @ihpmeuoft 2021 | @MacBHSc 2017 | Machine learning, MedEd, systems change, and deadlifts
ID: 1062381003522670592
13-11-2018 16:25:44
145 Tweet
591 Followers
972 Following

Excited to share our paper recently published in Annals of Vascular Surgery where we developed an AI/computer vision model for intraoperative guidance during endovascular aneurysm repairs: authors.elsevier.com/c/1iE2I3AUdjlv… Allen Li Thomas Forbes Amin Madani MD PhD

SRMAs in the vascular surgery literature are inconsistently reported. Our meta-epidemiological study outlines how study authors can improve SRMA reporting, published in the most recent edition of Journal of Vascular Surgery With Allen Li and Kaan Balta jvascsurg.org/article/S0741-…


AI/LLMs making rapid progress in surgery: our recent paper in JVS - Vascular Insights demonstrates how the most recent version of OpenAI's chatGPT is able to accurately answer 95% of clinical vascular surgery questions! doi.org/10.1016/j.jvsv… Tiam Feridooni Lauren Gordon Journal of Vascular Surgery

Augmented Surgery (EVAR) with computer vision. Nice to see work at University Health Network Peter Munk Cardiac Centre Toronto General Hospital Research Institute UHN Sprott Department of Surgery highlighted in this issue. Attn: Amin Madani MD PhD UHN AI Hub




Absolutely thrilled to have matched to THE Cleveland Clinic MIS/Surgical Endoscopy fellowship. Looking forward to learning from the best team Matthew Kroh, MD Matthew Allemang Salvador Navarrete Jerry Dang, MD PhD Andrew Strong and more! Thank you McMaster University & supports for making this possible!



Excited to announce the project that Tiam Feridooni and I have been working on for the past year: an augmented LLM that combines the capabilities of open access models with publicly available vascular surgery resources for improved performance. Our first paper with more to come!