Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation - Top-Institutions - MDSpire

Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation

  • By

  • Sarah K. Herber

  • Lukas Müller

  • Daniel Pinto dos Santos

  • Tobias Jorg

  • Fabio Souschek

  • Tobias Bäuerle

  • Sebastian Foersch

  • Christian Galata

  • Peter Mildenberger

  • Moritz C. Halfmann

  • July 25, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Oncology
    • Artificial Intelligence

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Radiology
    • Pulmonology
    • Oncology
    • Biomedical Engineering

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Oncology
    • Artificial Intelligence

  • #4

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Oncology
    • Radiology
    • Pulmonary Medicine
    • Computational Biology

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Pulmonary Medicine
    • Oncology
    • Biomedical Informatics

Original Source(s)

Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation

  • by Sarah K. Herber, Lukas Müller, Daniel Pinto dos Santos, Tobias Jorg, Fabio Souschek, Tobias Bäuerle, Sebastian Foersch, Christian Galata, Peter Mildenberger, Moritz C. Halfmann

  • July 25, 2025

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