
Shivam Vedak, MD MBA
@shivamvedakmd
Clinical Informatics Fellow at @StanfordCIF | Internal Medicine Physician at @StanfordMed | Residency via @UICDom
ID: 18739007
07-01-2009 21:15:58
160 Tweet
329 Followers
396 Following




Welcome to our new first year Stanford CI Fellowship fellows Alex Dussaq, April Liang, donghanyaoMD, Joshua A Villarreal, and Shivam Vedak, MD MBA -- our 10th class of CI fellows! We're so excited to have you join us!



Our amazing first year Stanford CI Fellowship fellows along with CI fellows from UC San Francisco put together an amazing Bay Area Medical Informatics Society Symposium this week! Lots of great learning on AI, data stewardship, and climate informatics!


Packed room for prompt engineering workshop! #CIC24 AMIA Shivam Vedak, MD MBA donghanyaoMD Julian Genkins


Standing room only at the AI prompt engineering workshop at AMIA #cic24 led by Stanford CI Fellowship fellows Shivam Vedak, MD MBA and donghanyaoMD!



Very excited to share these promising results that can further our ability to protect adolescent patient privacy (and beyond)! Huge thank you to coauthors Shivam Vedak, MD MBA Alex Dussaq donghanyaoMD @wui_ip Keith Morse Natalie Pageler MD, and to Stanford CI Fellowship for bringing us together!

Stanford CI Fellowship is now accepting applications on ERAS for the 2025-2026 academic year! Interested applicants with a clinical background of internal medicine, pediatrics, or emergency medicine are encouraged to apply.



Our CI fellows donghanyaoMD and Shivam Vedak, MD MBA have become national experts in prompt engineering for LLMs in healthcare, leading several workshops in recent months! Dr. Yao will be leading another session at the StanfordEM Innovation Symposium on October 17!




roon This played out in physical world already. People don’t need muscles when we have machines but still go to gym at scale. People will “need” (in an economic sense) less brains in a world of high automation but will still do the equivalents of going to gym and for the same reasons.


We highlight the fundamental shift from AI as a tool to AI as a teammate in our recent multi-agent benchmarking study that measures leading large language models in their ability to carry out tasks in medicine: Full study: bit.ly/41kdgFs Stanford AI Lab Stanford Medicine
