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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
Kerry E. Ashby, MS, attending the SIIM Annual Meeting, presenting on innovative medical imaging technologies and healthcare data management.
Event Speaker

Kerry E. Ashby, MS

Co-chair, Interoperability and Standards Work Group
Collaborative Community on Ophthalmic Innovation

With over fifteen years of expertise in data science and health informatics, currently contributing as Director of Data Science Curation & Statistics at Topcon Healthcare. At Topcon I support interoperability community development to advance Healthcare from the Eye. Previous experience at the National Eye Institute involved supporting key data science initiatives and informatics strategies, fostering innovation in health policy and analytics. Passionate about empowering teams to develop scalable, impactful solutions aligned with organizational goals and the evolving opportunities that come from a connected healthcare industry. 

Sessions

Ophthalmic Imaging AI: Computer Vision for Retinal Disease Prediction

Presented by Kerry E. Ashby, MS, John Giannini, PhD, Syed Haqqani, MS, Amberlynn Reed, MPH in Ophthalmology, Radiology Jun 10, 2026 | 1:45 PM.

Artificial intelligence is rapidly expanding the diagnostic value of ophthalmic imaging, transforming retinal photographs and optical coherence tomography (OCT) scans into rich sources of predictive clinical insight. As deep learning and computer vision methods mature, retinal imaging is increasingly being used not only to document ocular abnormalities, but also to identify subtle biomarkers associated with progressive diseases…

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Women registering to attend SIIM25 conference
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