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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
      • Pathology Roadmap
    • Case of the Day
    • 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
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satvik-tripathi-3934
Event Speaker

Satvik Tripathi

Researcher, Department of Radiology
Perelman School of Medicine at University of Pennsylvania

Satvik Tripathi is a Research Student at the Department of Radiology at Harvard Medical School/Mass General Hospital and Athinoula A. Martinos Center for Biomedical Imaging. Working on advanced AI methods in Vascular and Interventional Radiology. His primary research is based at the Perelman School of Medicine at the University of Pennsylvania, where he is a visiting student and researcher. He works across multiple research groups within the Department of Radiology. His research aims to explore the clinical applications of artificial intelligence in radiology and evaluate its impact on global health informatics. 

Sessions

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 11, 2026 | 7:30 AM.

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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