Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation - Top-Institutions - MDSpire

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

  • By

  • Songsoo Kim

  • Seungtae Lee

  • See Young Lee

  • Joonho Kim

  • Keechan Kan

  • Hyunji Lee

  • Dukyong Yoon

  • June 4, 2026

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Technical University of Munich School of Medicine and Health
    Technical University of Munich School of Medicine and Health

    Munich, Bavaria

    Key Differentiators

    • Radiology

  • #2

    Institute for Diagnostic and Interventional Radiology
    Institute for Diagnostic and Interventional Radiology

    Munich, Bavaria

    Key Differentiators

    • Radiology

  • #3

    Northwestern University Feinberg School of Medicine
    Northwestern University Feinberg School of Medicine

    Chicago, Illinois

    Key Differentiators

    • Radiology

  • #4

    Mount Sinai
    Mount Sinai

    New York, New York

    Key Differentiators

    • Radiology

  • #5

    American College of Radiology
    American College of Radiology

    Reston, Virginia

    Key Differentiators

    • Radiology

Original Source(s)

Improving Radiology Report Error Detection Using a Multipass Large Language Model: Framework Development and Validation

  • by Songsoo Kim, Seungtae Lee, See Young Lee, Joonho Kim, Keechan Kan, Hyunji Lee, Dukyong Yoon

  • June 4, 2026

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