Bardia Khosravi, MD
@BrdKhsrv
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🩻 #RadRes @YaleRadiology |📓 AI Researcher | 💻 Coding & Creating | 🥘 Cooking
United States
Joined July 2011
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!
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Excited to present our @AcadMedJournal RIME paper on measuring sense of #belonging in medicine at #AAMC2025! 🎉 📍Tues 11/4, 10:15 AM CT, Room 214 📄 Session: Psychological & Emotional Influences on Current & Future Physicians Hope to see you there! 🌟
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First timer #ACG2025 🤩 - reconnecting with old friends, making new ones, and learning from incredible talks. Oh, and winning Outstanding Presenter Award was the cherry on top! 🎉 Thank you to everyone who made it so memorable.
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📢 New in @Radiology_RSNA: Liver MRI–derived proton density fat fraction (PDFF) predicts #diabetes risk in pts with obesity, with a clear dose–response relationship. Deng et al. https://t.co/BnidPS4OBe
@RITEditor @Radiology_Editor @ProfVickyGoh @chemshift1
pubs.rsna.org
The liver MRI–derived proton density fat fraction (PDFF) independently predicted prediabetes and diabetes risk in patients with obesity, and the liver PDFF–dysglycemia relationship was partially me...
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Honored and humbled to win "1st place for Best Research Abstract" at #SIIM #CAIMI25 for our work on #LatteReview, a framework to automate systematic reviews using AI agents. Thank you @SIIM_Tweets for another fantastic event to connect with and learn from the best in radiology
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So proud of you ❤️
Does treating gut inflammation resolve joint pain in #IBD? Our study suggests it's not that simple. Come see the data! 🎯 ⏰Presenting Mon 10/27 - P3342 Grateful for my amazing mentors @JillGaidosMD and @GIDocAnnie and our entire research team! 🙏 #ACG2025 #GastroTwitter
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Super proud of our @YaleRadiology crew representation at the outstanding annual @SABImaging #sabi2025 meeting! Especially proud of our @YaleRadRes who won several awards!
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They truly are the BEST!
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Proud of our very own @YaleRadiology resident, Dennise Caruana, for an awesome presentation today! #SABI2025 #radres
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🎯 Right on target! ➡️ Teaching #AI for #Radiology Applications: A Multisociety-recommended Syllabus from @aapmHQ @RadiologyACR @RSNA and @SIIM_Tweets ⬅️ published in @Radiology_AI:
pubs.rsna.org
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Hello #MedTwitter! I’m Elham, @MayoClinic @MayoAILab postdoc, @TehUofMed MD grad and #InternalMedicine #Match2026 applicant (AAMC ID : 16710286). Looking forward to connect with peers & mentors. Any advice is welcome and appreciated!
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Hi #MedTwitter! I’m Pargol, a postdoc researcher @PennNeurology & an IMG from @TehUofMed, applying to #Neurology in #Match2026. Outside of Neurology, I enjoy traveling✈️, playing 🎹 & exploring nature🌳. Looking forward to connecting with peers & mentors. #NeuroMatch
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As the #Match2026 season picks up, we’re excited to share our recent publication: Applying for an American Radiology Residency As an International Medical Graduate: The NRMP Match. We hope this guide supports your journey, and we wish all IMGs the very best in the months ahead!
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Hi #MedTwitter ☺️👋🏽 My name is Rhiana Bakhit, MS4 at @UCRSoM 🐻 applying #Psychiatry in the #Match2026! I’m passionate about mentorship, health equity, & research in identity & culture. Interests: #reproductivepsychiatry & #childpsych 🌼 Happy ERAS Season!
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Amazing post on why LLMs are non-deterministic even with a temperature of zero. TLDR; Essentially it boils down to different inference batch sizes, as some kernels are not batch-size invariant. Meaning that their output is influenced by the number of requests🤯
Today Thinking Machines Lab is launching our research blog, Connectionism. Our first blog post is “Defeating Nondeterminism in LLM Inference” We believe that science is better when shared. Connectionism will cover topics as varied as our research is: from kernel numerics to
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Our new paper challenges the "one size fits all" myth of AI in medicine. We show that foundation models struggle with fine-grained diagnostic tasks like knee osteoarthritis, proving that specialized deep learning is still superior in domains with limited training data #Radiology
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🖥️ Segmenting your 3D scans just for extracting a bounding box? 📦 Checkout this useful package by @EliMahMD, streamlining the annotation workflow for 3D medical object detection tasks!
🚀 Just released my new Python package: roi2bb 🎉 👉 A converter from human coordinate system ➝ image coordinate system ❓Why. I couldn’t find this function online — chatbots were confused with the details — so I built it from scratch! 🛠️ 🔍 The problem : If you’ve tried
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Delighted to present our @cards_lab work at #ESCCongress2025: 🤖 AI-enabled detection & prediction of AF from images of 12-lead ECG in sinus rhythm 🫀 Promising results in forecasting thromboembolic events and advancing 🎯prevention @rohan_khera @ekoikonomou @LovedeepDhingra
@AryaAminorroaya presents in #ESCCongress2025 session 'Stroke prediction in AF' 🤖 Image-based #AI ECG model dev 🫀 Accurately nowcasts & forecasts AF from a single ECG in normal sinus rhythm 💊 Predicts thromboembolic events w comparable accuracy to CHA2DS2–VASc
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We felt the need for a radiology-tailored explanation of how GPT works before trying to understand the core math behind it. This paper is an attempt to provide a first pass on the topic. https://t.co/nqXVDSd7tw
@RSNA @radiology_rsna
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Thrilled to announce our new article in @radiology_rsna (with Prof. John Eng) 📊. We tackle 10 practical questions on sample size estimation in #Radiology #Research, highlight frequent pitfalls, and offer strategies for more robust study design. 🔗 https://t.co/dX7bfboe5D
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