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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
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Event Speaker

Nathan Cross, MD, MS, CIIP

Associate Professor
University of Washington, Seattle

Dr. Nathan M. Cross is an Associate Professor and Vice Chair of Informatics at the University of Washington. He practices neuroradiology and also boarded in Clinical Informatics. His academic background includes a B.S.E. in Biomedical Engineering, His fellowship training in Neuroradiology and Imaging Informatics was at the University of Pennsylvania and his research area utilizes deep learning for osteoporosis detection. 

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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