Understanding artificial neural networks and exploring their potential applications for the practicing urologist

John T. Wei, Zhen Zhang, Stephen D. Barnhill, K. Rama Madyastha, Hong Zhang, Joseph E. Oesterling

Research output: Contribution to journalReview articlepeer-review

Abstract

Artificial neural networks (ANNs) are complex mathematical models that are distantly based on the human neuronal structure. They are capable of modeling elaborate biologic systems without making assumptions based on statistical distributions. Preliminary work has been reported on their application in urology. The initial results have been promising, particularly as an additional tool in the detection of early prostate cancer using the ProstAsure Index, which has been the most extensively studied urologic ANN to date. We review the basic concepts behind ANNs and examine currently existing and potential future applications of this new dynamic technology both in urology and in general clinical medicine.

Original languageEnglish (US)
Pages (from-to)161-172
Number of pages12
JournalUrology
Volume52
Issue number2
DOIs
StatePublished - Aug 1 1998
Externally publishedYes

ASJC Scopus subject areas

  • Urology

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