Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward

Research output: Contribution to journalEditorial

1 Citation (Scopus)
Original languageEnglish (US)
Pages (from-to)407-408
Number of pages2
JournalEuropean Urology
Volume57
Issue number3
DOIs
StatePublished - Mar 1 2010

Fingerprint

Transitional Cell Carcinoma
Artificial Intelligence
Microarray Analysis
Urinary Bladder Neoplasms
Disease Progression
Urinary Bladder
Carcinoma
Muscles

All Science Journal Classification (ASJC) codes

  • Urology

Cite this

@article{7adbbe537b1e4181a81600ad21179e00,
title = "Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease: A Step Forward",
author = "DeGraff, {David J.}",
year = "2010",
month = "3",
day = "1",
doi = "10.1016/j.eururo.2009.11.036",
language = "English (US)",
volume = "57",
pages = "407--408",
journal = "European Urology",
issn = "0302-2838",
publisher = "Elsevier",
number = "3",

}

TY - JOUR

T1 - Novel Use of a Combined Artificial Intelligence Approach to Identify Patients with Noninvasive Urothelial Cell Carcinoma of the Urinary Bladder Who Are at Greatest Risk for Progression to Muscle-Invasive Disease

T2 - A Step Forward

AU - DeGraff, David J.

PY - 2010/3/1

Y1 - 2010/3/1

UR - http://www.scopus.com/inward/record.url?scp=74649085408&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=74649085408&partnerID=8YFLogxK

U2 - 10.1016/j.eururo.2009.11.036

DO - 10.1016/j.eururo.2009.11.036

M3 - Editorial

C2 - 19945780

AN - SCOPUS:74649085408

VL - 57

SP - 407

EP - 408

JO - European Urology

JF - European Urology

SN - 0302-2838

IS - 3

ER -