Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones - Top-Institutions - MDSpire

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones

  • By

  • Hsiang Ying Lee

  • Yu-Hung Tung

  • Jose Carlo Elises

  • Yen-Chun Wang

  • Vineet Gauhar

  • Sung Yong Cho

  • July 12, 2025

  • 0 min

Share

Top Institutions in Urology

Brief introduction explaining scope and methodology.

  • #1

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Urology
    • Endourology
    • Medical Informatics

  • #2

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Urology
    • Endourology
    • Clinical Research

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Urology
    • Surgical Innovation
    • Data Science

  • #4

    Seoul National University Hospital
    Seoul National University Hospital

    Seoul, South Korea

    Key Differentiators

    • Urology
    • Endourology
    • Machine Learning in Medicine

  • #5

    Kaohsiung Medical University Hospital
    Kaohsiung Medical University Hospital

    Kaohsiung, Taiwan

    Key Differentiators

    • Urology
    • Endourology
    • Clinical Data Analytics

Original Source(s)

Machine learning-based prediction of stone-free rate after retrograde intrarenal surgery for lower pole renal stones

  • by Hsiang Ying Lee, Yu-Hung Tung, Jose Carlo Elises, Yen-Chun Wang, Vineet Gauhar, Sung Yong Cho

  • July 12, 2025

Related Content

Posterior urethroplasty for pelvic fracture urethral injuries: risk factors for recurrence and complications

Adverse events during radical prostatectomy and their association with recurrence and death

Association of energy source with outcomes in en bloc TURB: secondary analysis of a randomized trial