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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
Hood-CMichael
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Event Speaker

C. Michael Hood, MD

Attending Radiologist, Emergency Radiology
Massachusetts General Hospital

Michael Hood, MD is an attending radiologist in the Emergency Radiology division at Massachusetts General Hospital and an Instructor of Radiology at Harvard Medical School. His expertise lies at the intersection of emergency imaging, artificial intelligence, imaging informatics, and innovation. He is particularly interested in leveraging technology and data-driven solutions to enhance operational efficiency, streamline workflow processes, and extract new value from imaging data.

Sessions

Technical Development Applied Informatics Abstracts 

Presented by C. Michael Hood, MD, John Garrett, PhD, Abhinav Suri, MPH, Roshan Fahimi, MD, Karan H. Jani, MD, MPH, MBA, Shawn Lyo, MD May 23, 2025 | 8:15 AMRoom A105

A Radiology Ontology for AI Datasets, Models and Projects (ROADMAP)  Abhinav Suri, MPH; Researcher and Medical Student, David Geffen School of Medicine at the University of California Los Angeles  Safwan Halabi, MD; Hari Trivedi, MD; Charles Khan, MD, MS, FACR, FSIIM    AI Assisted Annotation and Federated Learning: How to Standardize Data Labeling to Boots…

Unifying Structured and Unstructured Imaging Information

Presented by Tarik Alkasab, MD, PhD, C. Michael Hood, MD, Heather W. Chase, MS May 21, 2025 | 10:00 AMOregon Ballroom 203

This session will explore techniques and processes for integrating radiology data into a unified, standardized data model. Participants will gain insights into the current use of a Common Data Element (CDE)-based model for representing radiology results from multiple sources, serving as a common language across systems. The discussion will include a summary of this model…

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