The Journal of Urology
Volume 178, Issue 4 , Pages 1150-1156, October 2007

Application of Artificial Intelligence to the Management of Urological Cancer

  • Maysam F. Abbod

      Affiliations

    • School of Engineering and Design, Brunel University, West London, United Kingdom
    • Equal study contribution.
    • ,
  • James W.F. Catto

      Affiliations

    • Academic Urology Unit, University of Sheffield, Sheffield, United Kingdom
    • Equal study contribution.
    • ,
  • Derek A. Linkens

      Affiliations

    • Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, United Kingdom
    • ,
  • Freddie C. Hamdy

      Affiliations

    • Academic Urology Unit, University of Sheffield, Sheffield, United Kingdom
    • Corresponding Author InformationCorrespondence: Academic Urology Unit, K Floor, Royal Hallamshire Hospital, Glossop Rd., Sheffield, S10 2JF, United Kingdom (telephone: +44 +114 271 2154; FAX: +44 +114 271 2268).

Received 13 October 2006 published online 15 August 2007.

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 Supported by a Medical Research Council fellowship, a British Urological Foundation/Merck Sharpe and Dohme scholarship, and a GlaxoSmithKline Clinician Scientist award (JWFC).

PII: S0022-5347(07)01393-6

doi:10.1016/j.juro.2007.05.122

The Journal of Urology
Volume 178, Issue 4 , Pages 1150-1156, October 2007

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