Bardia Khosravi, MD
@BrdKhsrv
🩻 #RadRes @YaleRadiology | 💻 Coding & Creating | 🥘 Cooking
Excited to share that our team @MayoAILab received our first #NIHGrant to study the impact of #SyntheticData on fairness of deep learning models! Grateful for the mentorship of @Slowvak. Looking forward to continuing this line of work at @YaleRadiology with @PRouzrokh!

I'm immensely grateful to our Editorial Board, reviewers, authors, and readers for making @Radiology_AI a success! 🌟Many thanks to the superb @RSNA staff -- and a special shout-out to our Deputy Editors: @MariamAboian @uclawillhsu @kalpathy1 @DespinaKontos @ronnie_sebro 🌟
🚨 @Radiology_AI Impact Factor = 13.2 # 3⃣ of 212 journals in #Radiology #NucMed #imaging # 9⃣ of 204 journals in #ComputerScience / #AI
The journal welcomes Dr. John Mayfield as Deputy Editor pubs.rsna.org/page/ai/blog/i… @doctor_mayfield @Radiology_AI @MGHNeuroRad #AI #QML #QuantumML
🧵 1/n We know #AI_ECG can detect HCM from ECG voltage signals. But raw signals aren't always accessible, limiting the use at the point-of-care. 🆕in @NatureCVR, we ask: Can #AI detect #HCM directly from #ECG images? Across sites and ECG layouts? @rohan_khera @cards_lab
🧵1/ New in @Radiology_RSNA: Can quantitative #ultrasound replace biopsy in diagnosing #MASLD and #MASH? A large international, prospective study (n=114) explores the role of quantitative #US metrics. @RITEditor @VChernyakMD @RadiologyEditor pubs.rsna.org/doi/10.1148/ra…
🚨 The @cards_lab at Yale is recruiting postdocs in our clinician–data scientist track! 🔹 MD or MD/PhD 🔹 Python/R skills 🔹 Research experience 🔹 Passion for AI + digital health 📝 Apply early: CV + 250-word statement 🔗 apply.cards-lab.org/apply/CATSP004 #AI #Cardiology #Postdoc
Another R1 Welcome Party in the books for YDR! 🎉☀️🍔 Thanks to so many residents from our R1-R4 classes for coming out to celebrate a great first week of academic year! 🙌🏼
Today was an exciting day for Yale Radiology as we welcomed our incoming class of R1 residents!! 🎉 We’re so happy you’re here!! The future of YDR is looking bright! ✨
🔴 Avoid common AI deployment mistakes. Use structured evaluation to ensure smarter AI adoption. A radiology AI evaluation framework requires radiology-specific considerations (e.g., performance of findings detection, integration of multiple systems). Emory University Radiology…
🚨 Introducing ECGFounder, a foundation model trained on over 10 million annotated ECGs, achieving expert-level performance across 150 diagnoses. Validated across diverse datasets, it generalizes well, even with single-lead inputs. @NEJM_AI Link: ai.nejm.org/doi/abs/10.105……
Truly honored and humbled to receive the 2025 RSNA Honored Educator Award! @RSNA has always been an ocean of learning opportunities for me and a place to be inspired by great mentors. It’s a privilege to give back even a single drop. Thank you for this meaningful recognition!
Microsoft claims their new AI framework diagnoses 4x better than doctors. I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵
Closing an incredible chapter as my intern year at @bmc_brighton comes to an end. From looong ICU calls to celebrating wins, this amazing crew made every challenge worth it. Excited for radiology, but will deeply miss these bonds we’ve built. Once family, always family 💙




Best of luck Juliano! @CleClinicKidney is lucky to have you!
Grateful beyond words for these three incredible mentors who’ve shaped my journey — your wisdom, strength, and integrity continue to guide me every step of the way. Chief year complete, and now onto the next chapter as a proud nephron enthusiast. Onward and upward!
Thank you @VChernyakMD for selecting me to join the Radiology in Training (#RIT) editorial board at @radiology_rsna! I am excited to learn from esteemed mentors and contribute to the advancement of radiological sciences!
Honored and humbled to receive the "House Staff Intern of the Year" Award from @GriffinHospital. Though my time there was brief, I was blessed with knowing incredible mentors, forming dear friendships, and creating memories I’ll always cherish. Grateful beyond words!
Excited to share that I’ve been selected to receive a Travel Award from the International Parkinson and Movement Disorder Society to attend the MDS congress 2025 from October 5-9! 🧠🌴 Grateful to my incredible mentor and my amazing colleagues m.yale.edu/c6vp
🧠💓 Deep learning meets congenital heart disease. This AI-ECG model predicted future LV dysfunction months before echo. You need to see this. #AIinMedicine #Cardiology #MedEd @jmayour #CardioTwitter #CardioTech #ACHD #CHD #EchoFirst #HeartFailure2025 #HeartHealth…
🧵1/n Can #AI identify structural heart diseases from an #ECG photo? 📸 In @JACCJournals #JACC, we present PRESENT-SHD, an ensemble deep learning model for automated SHD screening & risk stratification, validated in clinical & community-based cohorts. @cards_lab @rohan_khera⬇️
I am honored for this great opportunity and award and gratefull to #SIIM and my mentors @judywawira and @HariTrivediMD and colleagues who have supported me along the way
Mohammadreza Chavoshi, MD, Postdoctoral Research Fellow from Emory University, wins the 2025 #SIIM Helen and Paul Chang Foundation New Investigator Travel Award. #SIIM25 Awards | vist.ly/3n53xfh
Honored to receive Honorable Mention at #SIIM25 for our work on de-identifying medical reports on edge devices using SLMs 🏆 Congrats to @theodapamede for winning Best Paper with his CV risk prediction from mammograms! 👏 Grateful to my mentors @Slowvak and @judywawira 🙏🏻

