A Novel Interpretable Machine Learning Method for Predicting Distant Metastasis in Papillary Thyroid Carcinoma: Development, Validation, and Clinical Implications - Top-Institutions - MDSpire

A Novel Interpretable Machine Learning Method for Predicting Distant Metastasis in Papillary Thyroid Carcinoma: Development, Validation, and Clinical Implications

  • By

  • Ruijie Sun

  • Yuhui Ma

  • Yushan Jiang

  • Xiaoguang Li

  • April 29, 2026

  • 0 min

Share

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

    • Endocrine Oncology
    • Thyroid Cancer
    • Machine Learning in Oncology

  • #2

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

    Baltimore, MD

    Key Differentiators

    • Endocrinology
    • Thyroid Cancer
    • Clinical Informatics

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Endocrine Surgery
    • Thyroid Cancer
    • Artificial Intelligence in Medicine

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Endocrinology
    • Oncology
    • Biomedical Informatics

  • #5

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

    Boston, MA

    Key Differentiators

    • Endocrine Oncology
    • Thyroid Cancer
    • Data Science in Medicine

Original Source(s)

A Novel Interpretable Machine Learning Method for Predicting Distant Metastasis in Papillary Thyroid Carcinoma: Development, Validation, and Clinical Implications

  • by Ruijie Sun, Yuhui Ma, Yushan Jiang, Xiaoguang Li

  • April 29, 2026

Related Content

Advanced age and differentiated thyroid carcinoma: a retrospective cohort study investigating surgical outcomes and recurrence risk

Approach to the Pediatric Patient With Thyroid Nodules

Utilizing a Combined Vision Transformer and Traditional Radiomics Approach to Forecast Central Lymph Node Metastasis in Papillary Thyroid Carcinoma via Dynamic Dual-Modality Ultrasound