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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
    • Roadmaps
      • Cardiology
      • Dermatology
      • Ophthalmology
      • Pathology
      • Radiology
    • Continuing Education
    • Speakers List
    • Preliminary Program
  • TECH Expo
    • Exhibitors
    • Alphabetical Exhibitor List
    • Product Categories
    • 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
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  • Register
Hana Haver
Event Speaker

Hana Haver, MD, MSc

Diagnostic Radiologist
Mass General Brigham

Hana Haver, MD, MSc is a Breast Imaging Fellow at the Massachusetts General Hospital. She attended the University of Massachusetts Medical School and completed diagnostic radiology residency at the University of Maryland Medical Center. Dr. Haver’s research in artificial intelligence is focused on applying large language models to patient-centered communications for breast and lung cancer, as well as in the reporting of breast imaging examinations.

Sessions

Disease Specific AI Application Scientific Research Abstracts

Presented by Hana Haver, MD, MSc, Moiz Khan, Satvik Tripathi, Theo Dapamede, MD, PhD, Atlas Haddadi Avval, MD, Changhyun Park, Sumedh Sonawane, MS, Taiyu Zhang, PhD in Ophthalmology, Pathology, Radiology Jun 10, 2026 | 1:45 PM.

A Deep Learning Based Pipeline to Generate Spatial Maps and Extract Signal Characteristics of Diffuse Midline Glioma Atlas Haddadi Avval, MD, Postdoctoral Scholar, University of California, San Francisco Nabaan Mir; Evan Bloch; Andreas Rauschecker, MD, PhD A Multi-Channel Deep Convolutional Neural Network for Preoperative Classification of Intraductal Papillary Mucinous Neoplasms (IPMNs) Satvik Tripathi, Researcher, University…

Hip versus Hype: Trending Topics in Large Language Models & Agentic AI

Presented by Hana Haver, MD, MSc, Satvik Tripathi, Dania Daye, MD, PhD, Rafe McBeth, PhD in Cardiology, Dermatology, Ophthalmology, Pathology, Radiology Jun 12, 2026 | 2:00 PM.

Trending developments in large language models (LLMs) and Agentic AI continue to shape conversations across imaging informatics. Understanding which advances are truly transformative—and which are overhyped—helps professionals evaluate real-world impact. Topics explored include clinical decision support integrations, autonomous imaging workflows, intelligent tool orchestration, and patient-centered communication. Agentic AI introduces capabilities that move beyond automation toward…

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