When to trust the answer: question-aligned semantic nearest neighbor entropy for safer surgical VQA - Top-Institutions - MDSpire

Determining Reliability in Surgical Visual Question Answering: Utilizing Question-Aligned Semantic Nearest Neighbor Entropy for Enhanced Safety

  • By

  • Luca Carlini

  • Dennis Pierantozzi

  • Mauro Orazio Drago

  • Chiara Lena

  • Cesare Hassan

  • Elena De Momi

  • Danail Stoyanov

  • Sophia Bano

  • Mobarak I. Hoque

  • July 17, 2026

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, Massachusetts

    Key Differentiators

    • Surgery
    • Surgical AI

  • #2

    Stanford Health Care
    Stanford Health Care

    Stanford, California

    Key Differentiators

    • Surgery
    • AI in Surgery

  • #3

    Chiba University Hospital
    Chiba University Hospital

    Chiba, Japan

    Key Differentiators

    • Surgery

  • #4

    Hyogo College of Medicine Hospital
    Hyogo College of Medicine Hospital

    Hyogo, Japan

    Key Differentiators

    • Surgery

  • #5

    Toranomon Hospital
    Toranomon Hospital

    Tokyo, Japan

    Key Differentiators

    • Surgery

Original Source(s)

When to trust the answer: question-aligned semantic nearest neighbor entropy for safer surgical VQA

  • by Luca Carlini, Dennis Pierantozzi, Mauro Orazio Drago, Chiara Lena, Cesare Hassan, Elena De Momi, Danail Stoyanov, Sophia Bano, Mobarak I. Hoque

  • July 17, 2026

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