Establishing an AI-based artifact correction system for intrarenal pressure monitoring using the LithoVue™ Elite ureteroscope: an EAU endourology and AUSET collaboration - Top-Institutions - MDSpire

Establishing an AI-based artifact correction system for intrarenal pressure monitoring using the LithoVue™ Elite ureteroscope: an EAU endourology and AUSET collaboration

  • By

  • Takahiro Yanase

  • Shuzo Hamamoto

  • Rei Unno

  • Steffi Kar Kei Yuen

  • Vineet Gauhar

  • Bhaskar K. Somani

  • Olivier Traxer

  • Yuya Sasaki

  • Ryosuke Chaya

  • Atsushi Okada

  • Kazumi Taguchi

  • Takahiro Yasui

  • November 10, 2025

  • 0 min

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Top Institutions in Urology

Brief introduction explaining scope and methodology.

  • #1

    Nagoya City University Hospital
    Nagoya City University Hospital

    Nagoya, Aichi

    Key Differentiators

    • Urology
    • Endourology
    • Medical AI Research

  • #2

    The Chinese University of Hong Kong
    The Chinese University of Hong Kong

    Hong Kong, N/A

    Key Differentiators

    • Urology
    • Endourology
    • Clinical Research

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Urology
    • Endourology
    • Biomedical Engineering

  • #4

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, Ohio

    Key Differentiators

    • Urology
    • Endourology
    • Surgical Innovation

  • #5

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, Maryland

    Key Differentiators

    • Urology
    • Endourology
    • Medical Informatics

Original Source(s)

Establishing an AI-based artifact correction system for intrarenal pressure monitoring using the LithoVue™ Elite ureteroscope: an EAU endourology and AUSET collaboration

  • by Takahiro Yanase, Shuzo Hamamoto, Rei Unno, Steffi Kar Kei Yuen, Vineet Gauhar, Bhaskar K. Somani, Olivier Traxer, Yuya Sasaki, Ryosuke Chaya, Atsushi Okada, Kazumi Taguchi, Takahiro Yasui

  • November 10, 2025

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