Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models - Top-Institutions - MDSpire

Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models

  • By

  • Kai Jin

  • Qixuan Sun

  • Daohuan Kang

  • Ziyao Luo

  • Tao Yu

  • Wenzheng Han

  • Yi Zhang

  • Meng Wang

  • Danli Shi

  • Andrzej Grzybowski

  • January 3, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Ophthalmology
    • Medical Imaging
    • Artificial Intelligence

  • #2

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Medical Imaging
    • Computer Vision

  • #3

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Ophthalmology
    • Medical Imaging
    • Clinical AI Research

  • #4

    Stanford University
    Stanford University

    Stanford, CA

    Key Differentiators

    • Ophthalmology
    • Artificial Intelligence
    • Medical Imaging

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Ophthalmology
    • Medical Imaging
    • Clinical AI Applications

Original Source(s)

Grounded report generation for enhancing ophthalmic ultrasound interpretation using Vision-Language Segmentation models

  • by Kai Jin, Qixuan Sun, Daohuan Kang, Ziyao Luo, Tao Yu, Wenzheng Han, Yi Zhang, Meng Wang, Danli Shi, Andrzej Grzybowski

  • January 3, 2026

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