Artificial intelligence framework for multi-pathology risk assessment from retinal fundus images: deep learning approach to 15-disease screening - Top-Institutions - MDSpire

Artificial intelligence framework for multi-pathology risk assessment from retinal fundus images: deep learning approach to 15-disease screening

  • By

  • Robert Vasilev

  • Andrey Savchenko

  • Pavel Blinov

  • Tadej Svetina

  • Stepan Kudin

  • Nikolay Romanenko

  • Yuliya Sarana

  • Gleb Khizhnyak

  • Andrey Demchinsky

  • Taisia Shcheglova

  • May 25, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Technion – Israel Institute of Technology
    Technion – Israel Institute of Technology

    Haifa, Israel

    Key Differentiators

    • Ophthalmology

  • #2

    Oregon Health & Science University
    Oregon Health & Science University

    Portland, Oregon

    Key Differentiators

    • Ophthalmology

  • #3

    Shahid Beheshti University of Medical Sciences
    Shahid Beheshti University of Medical Sciences

    Tehran, Iran

    Key Differentiators

    • Ophthalmology

  • #4

    University of Cambridge
    University of Cambridge

    Cambridge, United Kingdom

    Key Differentiators

    • Ophthalmology

  • #5

    Erasmus Hospital
    Erasmus Hospital

    Brussels, Belgium

    Key Differentiators

    • Ophthalmology

Original Source(s)

Artificial intelligence framework for multi-pathology risk assessment from retinal fundus images: deep learning approach to 15-disease screening

  • by Robert Vasilev, Andrey Savchenko, Pavel Blinov, Tadej Svetina, Stepan Kudin, Nikolay Romanenko, Yuliya Sarana, Gleb Khizhnyak, Andrey Demchinsky, Taisia Shcheglova

  • May 25, 2026

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