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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
    • 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
    • Rules & Regulations
    • Vendor Prospectus
    • Exhibitor Resources
    • Suitcase Marketing Policy
  • Register
Professional portrait of Preetham Bachina, MSE, attending the SIIM Annual Meeting 2023, showcasing a confident smile and formal attire.
Event Speaker

Preetham Bachina, MSE

Medical Student, Dual-Affiliate
Johns Hopkins University School of Medicine, St. Jude Children's Research Hospital

As a fourth-year medical student at Johns Hopkins University, Preetham Bachina explores the intersection of artificial intelligence and clinical practice. He maintains a dedicated interest in how AI applications can optimize healthcare delivery, specifically within the field of diagnostic imaging. Following a successful match, he is set to begin his Radiology Residency at the University of Pennsylvania.

Sessions

AI Ecosystems in Imaging Scientific Research Abstracts

Presented by Preetham Bachina, MSE, Tyler Bradshaw, PhD, Mitchell Goldburgh, FSIIM, BSCS, Aditya Kulkarni, MSc., Mana Moassefi, MD in Pathology, Radiology Jun 10, 2026 | 5:15 PM.

Data Hygiene at Scale: A Contrastive Learning Framework for Auditing Data Provenance and Overlap Aditya Kulkarni, MS, Research Engineer, St. Jude Children's Research Hospital Khushang Zaveri; Dharmam Savani, MSc; Ammar Ahmed Pallikonda Latheef, MSc; Pritam Mukherjee, PhD; Jeremias Sulam, PhD; Paul Yi, MD Lost in Translation: International Limitations of Deep Learning Demographic Classifiers Developed on…

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