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SIIM26 logo footer
  • Attend
    • Hotels + Venue
    • Who Should Attend?
    • Networking Events
    • Justify Your Attendance!
    • Preliminary Program
  • Program
    • Program Agenda
    • Featured Education
      • General Sessions
      • Learning Labs
      • Scientific Presentations
      • SMIT Picks & Tips
    • Roadmaps
      • Cardiology
      • Dermatology
      • Ophthalmology
      • Pathology
      • Radiology
      • SMIT Picks & Tips
    • Expo Learning
    • Continuing Education
    • Speakers List
    • Preliminary Program
    • Speaker Resources
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
    • Expo Learning
    • Floor Plan
  • Pre-Conference
    • Epic Users Group Meeting
    • SIIM-ACR Data Science Summit
  • Exhibit + Sponsor
    • How To Sign Up
    • Sponsor + Advertise
    • Startup Street
    • Booth Contract
    • Rules & Regulations
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing & Unauthorized Research Policy
  • Register
Innovative medical professional attending SIIM Annual Meeting, showcasing advancements in imaging technology and healthcare solutions at the leading radiology and medical imaging conference.
Event Speaker

Asim Waqas, PhD

Applied Research Scientist
Moffitt Cancer Center

Asim Waqas, PhD, is a Research Scientist in the Departments of Cancer Epidemiology and Machine Learning at Moffitt Cancer Center. He develops multimodal AI and large language model approaches for oncology, with a focus on cancer risk prediction, survival modeling, digital pathology, and clinical data extraction. His work integrates multi-omics, imaging, pathology, and electronic health record data to advance precision oncology. Previously, he serves as an Applied Postdoctoral Fellow and Graduate Research Fellow at Moffitt/ University of South Florida and holds engineering and IT roles in multiple institutions.

Sessions

Running Local LLMs Behind Institutional Firewalls: Hands-On Guide for Secure Clinical AI Learning Lab

Presented by Ghulam Rasool, PhD, Aakash Tripathi, PhD, Asim Waqas, PhD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 1:00 PM.

Large language models are increasingly used across radiology, pathology, and clinical workflows, but cloud-based models often conflict with patient privacy, HIPAA requirements, and institutional data governance. This Learning Lab addresses the growing need to deploy LLMs securely behind institutional firewalls while maintaining control, transparency, and compliance. Participants learn when and why local LLM deployment makes sense, including…

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