Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance - Top-Institutions - MDSpire

Leveraging large language models to extract smoking history from clinical notes for lung cancer surveillance

  • By

  • Ingrid Luo

  • Anna Graber-Naidich

  • Mengrui Zhang

  • Rakshit Kaushik

  • Grant M. Nieda

  • Tony Chen

  • Bo Gu

  • Eunji Choi

  • Victoria Y. Ding

  • Fatma Gunturkun

  • Mina Satoyoshi

  • Archana Bhat

  • Tae Yoon Lee

  • Chloe C. Su

  • Timothy John Ellis-Caleo

  • A. Solomon Henry

  • Manisha Desai

  • Leah M. Backhus

  • Natalie S. Lui

  • Ann Leung

  • Joel W. Neal

  • Allison W. Kurian

  • Curtis P. Langlotz

  • Heather A. Wakelee

  • Su-Ying Liang

  • Aparajita Khan

  • Summer S. Han

  • November 28, 2025

  • 0 min

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Top Institutions in General Medicine

Brief introduction explaining scope and methodology.

  • #1

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Medical Informatics
    • Oncology
    • Artificial Intelligence
  • #2

    Massachusetts General Hospital / Harvard Medical School
    Massachusetts General Hospital / Harvard Medical School

    Boston, MA

    Key Differentiators

    • Oncology
    • Medical Informatics
    • Clinical Data Science
  • #3

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

    San Francisco, CA

    Key Differentiators

    • Medical Informatics
    • Pulmonology
    • Oncology
  • #4

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Oncology
    • Medical Informatics
    • Pulmonology
  • #5

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, MD

    Key Differentiators

    • Oncology
    • Medical Informatics
    • Epidemiology

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