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Welcome to DC! Great to see you again!#QSI2024

Data Access Sharing and Usability ➡️Tessa S. Cook MD PhD CIIP FSIIM FCPP #QSI2024 #SpeakerReferences JACR American College of Radiology: 1. jacr.org/article/S1546-… 2. jacr.org/article/S1546-…

It is always a treat to hear Tessa S. Cook MD PhD CIIP FSIIM FCPP talk. She simplifies the complexity of AI and informatics for non-tech leaning people 🙋🏻‍♀️#QSI2024 Penn Radiology American College of Radiology

I don’t usually pick favorites but I’m a big fan girl of the brilliant Dr. Tessa Cook giving an informative talk on the importance of selecting data for AI evaluation. #QSI2024 #ACR American College of Radiology Tessa S. Cook MD PhD CIIP FSIIM FCPP

Lots of pearls in this morning's session on Data Access Sharing and Usability. Clear and important talk on "Best practices in data governance" by @ryanleemd #QSI2024 EinsteinRadiology American College of Radiology

Amazing and thought provoking talk by Mara on "Peer learning and AI integration: Friends or Foes." #QSI2024 Lahey Radiology American College of Radiology

ACR Peer Learning Committee spotted at #QSI2024 📸 Olga R Brook, MD, FSAR, FSIR, FSABI, FESGAR SGoldberg-Stein, MD Rich Sharpe, MD, MBA Jennifer Broder, MD Have some pictures of your own? Share with us below! ⬇️

Mentioned at #QSI2024: How can providing a cost-efficient & robust framework for external validation of AI algorithms help radiologists? To easily... ✅ Adopt AI algorithms into radiology workflows ✅ Promote enhanced population-based outcomes jacr.org/article/S1546-…

Building Your AI Team➡️ Norman J Beauchamp Jr. MD MHS #QSI2024 #SpeakerReferences JACR American College of Radiology: 1. jacr.org/article/S1546-… 2. jacr.org/article/S1546-…

All the talk at #QSI2024: Overcoming the limitations in publically accessible datasets including: ✅ Demographic ✅ Geographic ✅ Epidemioligic ...can help address the most burdensome population health problems. jacr.org/article/S1546-…

How do you manage the challenge of complexity in communication within #Radiology? #QSI2024 pubmed.ncbi.nlm.nih.gov/25341133/

🌟 I am excited to deliver the keynote at American College of Radiology #QSI2024 tomorrow titled "Seeing the Unseen: Advancing Generative AI in Radiology." 😊 #GenerativeAI #GenAI #radiology #RadiologyAI #ACRDSI Rad AI

I always look forward to Dr. Kim’s presentations- they are informative, educational AND entertaining! 🎵 Woojin Kim #QSI2024

🥹Woojin Kim I need this adorable puppy as my laptop background. Per usual, an amazing presentation 👏 #QSI2024

My favorite part about current #LLM Radiology space would have to be Woojin Kim talk! #QSI2024 Great lessons: - Good results can be “data contamination” - Using LLM to reduce burden and not vice versa - Moving towards reproducible research methods

American College of Radiology Woojin Kim Such a catchy tune! The #QSI2024 Cookies will be will make sure it hits 1 on billboard Hot100

🛫 Going home from DC to fly back out to Kauaʻi. 🌟 I look forward to presenting the talk "Generative AI: The Next Frontier of AI in Radiology" at the upcoming #WAIS2024. Western Angio #GenAI #RadiologyAI Rad AI

Hey friends 👋 as we conclude #QSI2024, I want to make sure you do not miss #QSI2025 in sunny San Diego Sept 9-11, I hear it is going to be the best conference of the year 😃✨Alex Towbin (He/Him) SGoldberg-Stein, MD Gloria Hwang American College of Radiology

Our research made headlines! We showed how #GPT-4 can simplify and enhance the readability of #IRad procedures. Big congratulations to Tarig.Elhakim,MD for leading the study! Shout out to #PIMI lab and Dania Daye, MD PhD for the mentorship! Read: shorturl.at/7zKJj

🤔 Over the weekend, I gave a keynote discussing LLMs' brittleness. Here’s a recent paper I read on my way home that reveals just that. 📊 This Microsoft study exposes the language-as-fixed-effect fallacy in assessing large language model capabilities. Researchers found