The Painful Hand! Wish I would’ve thought of making this prior to my first MSK rotation. Super helpful for keeping the various arthritides straight. #medtwitter #RadRes #radiology #FOAMrad #MedEd

Excited to present at the Emerging Research Session tomorrow, Monday, May 2nd #ARRS22 ARRS

Wonderful time ARRS! Love the opportunity to present our work, meeting new and old friends, mentors, and colleagues! #ARRS22 AJR Johns Hopkins Radiology UMMCRadiology @NIHRadiology

Another #WomenInRadiology Spotlight for ACR RFS - We've Moved! Follow @RadiologyACR. featuring the amazing Rydhwana Hossain MD thank you for the honor of letting me interview you #RadRes #RadFellow #ChestRad #RadLeaders #RadiateInclusion go.acr.org/NTk4LVRSQS0yND…

Tips on how to get the best letters of recommendations! It’s that time of year! m.youtube.com/watch?v=RnSMXU…. #MedEd #MedTwitter Radiology Applicant Working Group 2023 Madeleine Purcell @TrishaMiglani Jocelyn Wu Alyssa Schledwitz Jay Vora, D.O. Kamyar Ghabili, MD Ahmad Munir DO, MBA @GeorgeMorcos96 Elham Beheshtian Hadiseh Kavandi, MD

Great work by Elham Beheshtian Vishwa Parekh and team from UM2ii !

Winning deep learning model of the RSNA pediatric bone age challenge demonstrates significant biases based on sex, race, and age when tested on an external dataset. @KZhangMayo #RadInTraining editor summarizes the Radiology publication Paul Yi @Vishwa_Parekh Elham Beheshtian

Univ. of Maryland School of Medicine & Fischell Institute researchers recently showed how a state-of-the-art AI model used to measure bone age in pediatric populations exhibited sex-, age-, and race-based biases when applied to diverse populations. fischellinstitute.umd.edu/news/story/ai-…

Great way to close out #RSNA2022 with an awesome talk by UMMCRadiology resident Elham Beheshtian on evaluation of bias and fairness in radiology #AI! Check out the publication in Radiology! RSNA UM2ii

Maryland Radiologic Society Lobby Day 2023 RFSMarylandRadSoc

Ladyologists University of Maryland Medical Center ! Such an amazing group of people to work with everyday 🤩 UMMCRadiology Noushin Yahyavi, MD, MBA Jade Wong Flo Doo, MD Rydhwana Hossain MD Amina Farooq Elham Beheshtian Hadiseh Kavandi, MD

Check out cases of the day #RSNA23! Shout out to RSNA education for the new case of the day #COD format with multiple choice answers eliminating errors and gruesome scoring for the section leads! Cooky Menias. Also check out our amazing team’s case UMMCRadiology Elham Beheshtian

Would love to see old friends & meeting new ones at RSNA #RSNA23! 🥳 Come hang out with UM2ii & UMMCRadiology folks at our sessions 🙌🏼 Paul Yi Peter Kamel, MD Jade Wong Omer Awan MD MPH (& excellent #radres 😊: Elham Beheshtian Hadiseh Kavandi, MD Craig Foote, Hallie Whalen, Andrew Sinensky)

I absolutely enjoyed driving a race car at #RSNA2023

Great conclusion to the RSNA 2023 with seeing old and new friends and accompanying inspiring Flo Doo, MD UMMCRadiology 😊 RadDiscord #RSNA2023 #radres

Caveat Emptor: Medicolegal Issues May Arise From the Opaque and Unpred... sciencedirect.com/science/articl… Latest article for those interested. Yale Department of Radiology & Biomedical Imaging

AI has tremendous potential in Radiology but radiologists need to be aware of liability risks. Check out our fresh publication ⁦⁦Academic Radiology⁩ ⁦Jonathan Mezrich⁩ ⁦Eliot Siegel⁩ ⁦Yale Department of Radiology & Biomedical Imaging⁩ ⁦UMMCRadiology⁩ authors.elsevier.com/c/1iPhx3qp4qpu…

The latest work from our great team. Keep an eye out for the final version UM2ii Paul Yi Samantha Santomartino Vishwa Parekh

🌟🧠Looking forward to working with these future @UCSFradiology Neuro stars 🌟🧠

Excited to join UCSF and can’t wait to start a new journey with this amazing team. Congratulations to everyone.