Detectability and healthcare implications of generative AI–synthesized chest radiographs: a blinded radiologist reader study - Top-Institutions - MDSpire

Detectability and healthcare implications of generative AI–synthesized chest radiographs: a blinded radiologist reader study

  • By

  • Jinghang Wang

  • Ruixin Wang

  • Qijia Yi

  • Hongyong Tang

  • Li Fan

  • Shunan Lin

  • Wenjing He

  • Dan Peng

  • Jun-Jie Yang

  • Jun Liu

  • July 15, 2026

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Institutional Review Board
    Institutional Review Board

    N/A, N/A

    Key Differentiators

    • Ethics

  • #2

    Radboud University Medical Center
    Radboud University Medical Center

    Nijmegen, Gelderland

    Key Differentiators

    • Radiology

  • #3

    Jeroen Bosch Hospital
    Jeroen Bosch Hospital

    Den Bosch, North Brabant

    Key Differentiators

    • Radiology

  • #4

    Icahn School of Medicine at Mount Sinai
    Icahn School of Medicine at Mount Sinai

    New York, New York

    Key Differentiators

    • Medicine

  • #5

    Karolinska University Hospital
    Karolinska University Hospital

    Stockholm, Stockholm

    Key Differentiators

    • Radiology

Original Source(s)

Detectability and healthcare implications of generative AI–synthesized chest radiographs: a blinded radiologist reader study

  • by Jinghang Wang, Ruixin Wang, Qijia Yi, Hongyong Tang, Li Fan, Shunan Lin, Wenjing He, Dan Peng, Jun-Jie Yang, Jun Liu

  • July 15, 2026

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