Identification of muscle-invasion status in bladder cancer patients using natural language processing and machine learning.

Authors

null

Ruixin Yang

Durham Veterans Affairs Health Care System, Durham, NC

Ruixin Yang , Di Zhu , Lauren Howard , Amanda M. De Hoedt , Zachary William Abraham Klaassen , Stephen J. Freedland , Stephen B. Williams

Sign-In to See More Abstracts, Journal Articles, Posters, Videos and Slides and to Bookmark Your Favorite Content.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Poster Details

Meeting

2022 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session B: Urothelial Carcinoma

Track

Urothelial Carcinoma

Sub Track

Diagnostics and Imaging

Citation

J Clin Oncol 40, 2022 (suppl 6; abstr 447)

DOI

10.1200/JCO.2022.40.6_suppl.447

Abstract #

447

Poster Bd #

Online Only

Abstract Disclosures

Similar Posters

Poster

2020 Genitourinary Cancers Symposium

Replacing TURBT with mpMRI for staging MIBC: Pilot data from the BladderPath study.

Replacing TURBT with mpMRI for staging MIBC: Pilot data from the BladderPath study.

First Author: Nicholas D. James

Poster

2014 Genitourinary Cancers Symposium

Quality of transurethral resection in patients with bladder cancer: A process-outcomes link.

Quality of transurethral resection in patients with bladder cancer: A process-outcomes link.

First Author: Eric Christian Ballon-Landa

First Author: Xiao Yang

Poster

2022 ASCO Genitourinary Cancers Symposium

Evaluating therapeutic bladder cancer trial disparities in race/ethnicity.

Evaluating therapeutic bladder cancer trial disparities in race/ethnicity.

First Author: Ishaan Iyer