- Title: Subtitle
- IP02-02 THE COMPUTATIONAL HISTOLOGY ARTIFICIAL INTELLIGENCE (CHAI) BIOMARKER ENHANCES RISK STRATIFICATION OF HIGH-GRADE TA NON-MUSCLE INVASIVE BLADDER CANCER IN A MULTICENTER COHORT: COMPARISON TO 2024 AUA GUIDELINES
- Creators
- Sam S. ChangBryn LaunerVikram NarayanDattatraya PatilMichael A. O'DonnellPatrick J. HensleyJohn A. TaylorRoger LiViswesh KrishnaHaochen ZhangDamir VrabacWaleed M. AbuzeidAnirudh JoshiBadrinath KonetyStephen B. WilliamsAshish KamatVignesh T. PackiamYair LotanSiamak Daneshmand
- Resource Type
- Abstract
- Publication Details
- The Journal of urology, Vol.213(5S), p.e97
- Publisher
- LIPPINCOTT WILLIAMS & WILKINS
- DOI
- 10.1097/01.JU.0001109740.05294.af.02
- ISSN
- 0022-5347
- eISSN
- 1527-3792
- Grant note
- Valar Labs: NRF-2023R1A2C1003830, NRF-2022R1A2C2008207 Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT, and Future Planning
Valar Labs
- Language
- English
- Date published
- 05/2025
- Academic Unit
- Urology
- Record Identifier
- 9984808279902771
Abstract
IP02-02 THE COMPUTATIONAL HISTOLOGY ARTIFICIAL INTELLIGENCE (CHAI) BIOMARKER ENHANCES RISK STRATIFICATION OF HIGH-GRADE TA NON-MUSCLE INVASIVE BLADDER CANCER IN A MULTICENTER COHORT: COMPARISON TO 2024 AUA GUIDELINES
The Journal of urology, Vol.213(5S), p.e97
05/2025
DOI: 10.1097/01.JU.0001109740.05294.af.02
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