Creation and assessment of a nomogram for predicting the invasiveness of stage T1 lung adenocarcinoma preoperatively using AI-based radiomic analysis - Top-Institutions - MDSpire

Creation and assessment of a nomogram for predicting the invasiveness of stage T1 lung adenocarcinoma preoperatively using AI-based radiomic analysis

  • By

  • Wensong Shi

  • Yuzhui Hu

  • Guotao Chang

  • Yulun Yang

  • He Qian

  • Yinsen Song

  • Zhengpan Wei

  • Liang Gao

  • Hang Yi

  • Sikai Wu

  • Kun Wang

  • Huandong Huo

  • Yousheng Mao

  • Yingli Sun

  • Ming Li

  • Siyuan Ai

  • Liang Zhao

  • Xiangnan Li

  • Huiyu Zheng

  • January 7, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Thoracic Oncology
    • Radiology
    • Artificial Intelligence in Medicine

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Thoracic Oncology
    • Radiology
    • Computational Medicine

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Pulmonology
    • Radiology
    • Thoracic Surgery

  • #4

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Thoracic Surgery
    • Radiology
    • Biomedical Engineering

  • #5

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

    San Francisco, CA

    Key Differentiators

    • Thoracic Oncology
    • Radiology
    • Artificial Intelligence

Original Source(s)

Creation and assessment of a nomogram for predicting the invasiveness of stage T1 lung adenocarcinoma preoperatively using AI-based radiomic analysis

  • by Wensong Shi, Yuzhui Hu, Guotao Chang, Yulun Yang, He Qian, Yinsen Song, Zhengpan Wei, Liang Gao, Hang Yi, Sikai Wu, Kun Wang, Huandong Huo, Yousheng Mao, Yingli Sun, Ming Li, Siyuan Ai, Liang Zhao, Xiangnan Li, Huiyu Zheng

  • January 7, 2026

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