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SIIM Annual Meeting
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SIIM Annual Meeting
  • Attend
    • Who Attends
    • Networking Events
    • Hotels & Venue
    • Preliminary Program
    • Press Registration
    • Justification Letter & Tips
    • Health & Safety
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
    • Learning Zones
      • AI Playground
      • Hackathon
      • Learning Theaters
      • Ask the Informaticists
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • Tech Expo
    • InformaticsTECH Day
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit+Sponsor
    • Exhibit Signup
    • Sponsor + Advertise
    • Booth Contract
    • Rules & Regulations
    • Exhibitor Resources
    • Vendor Prospectus
    • Suitcase Marketing Policy
  • Register Now
Ng Yee Seng
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Event Speaker

Yee Seng Ng, MD

Assistant Professor of Radiology
UT Southwestern Medical Center

Yee Seng Ng, M.D., is Assistant Professor of Radiology at UT Southwestern Medical Center, and a member of its Abdominal Imaging Division. He holds a bachelor’s degree in electrical engineering from the University of Michigan in Ann Arbor. He then earned his medical degree from Boston University School of Medicine. Dr. Ng received radiology residency training at UT Southwestern, and remained for advanced training through a fellowship program in abdominal imaging. He was born in Jakarta, Indonesia, but is a citizen of Singapore. Dr. Ng’s research interests include writing custom software to improve radiology reporting and clinical imaging protocols, and machine learning. Dr. Ng is a member of the Radiological Society of North America and the Society of Computed Body Tomography & Magnetic Resonance.

Sessions

Reporting Juicing – Extracting Structured Radiology Data with LLMs Learning Lab

Presented by Yee Seng Ng, MD, Mohammed M. Kanani, MS, Nathan Cross, MD, MS, CIIP, Arezu Monawer, MD May 23, 2025 | 1:00 PMRoom B117

Imaging reports are a valuable source of clinical information, but their free-text format poses challenges for clinical operations, AI workflows, quality improvement, and research. This session will explore modern libraries and techniques to efficiently leverage open-source large language models (LLMs) like Llama 3.1 and Mistral for extracting structured data.    Participants will gain hands-on insights into…

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