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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
Nadim-Bardia
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Event Speaker

Bardia Nadim, MD

Resident Physician
Radiology, Brigham and Women's Hospital

Bardia Nadim is a PGY-4 interventional and diagnostic radiology resident at Brigham and Women’s Hospital in Boston, Massachussetts. He earned his undergraduate degree in Physics at the University of Michigan and his medical degree from the Northwestern University Feinberg School of Medicine. He currently serves on the RadioGraphics Trainee Editorial Board, as an AJR Trainee Podcast Editor, JVIR Trainee Reviewer, and is the Chair of the Society of Abdominal Radiology Resident and Fellow Section (SAR-RFS). His professional interests include interventional radiology, artificial intelligence in radiology, and radiology education.

Sessions

Breakthroughs in Disease Detection: From Imaging Biomarkers to Automated Diagnostics Scientific Research Abstracts 

Presented by Mehrdad Salimitari, PhD, Eduardo Farina, MD, Mohamed K. Ibrahim, MD, Nazanin Maleki, MD, Mohammadreza Chavoshi, MD, Bardia Nadim, MD, Theo Dapamede, MS, MD, PhD, Xue Li May 21, 2025 | 1:45 PMRoom A105

A Combined Deployable End-to-end Automated AI Detection and Quantitative Visualization Pipeline for Hemothorax on Admission Trauma CT  Mehrdad Salimitari, PhD, Postdoctoral Fellow, University of Maryland School of Medicine  Ankush Jindal, MD, MS; Uttam Bodanapally, MD; Lei Zhang, PhD; Wayne LaBelle; Guang Li, PhD; Bhavya Reddy; Ozerk Turan; Gabrielle Dickerson; Abigail Corkum; Melike Harfouche, MD; David…

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