Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as 'artificial neurons'. These 'neurons', when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systematic review is to give a comprehensive summary of the contemporary applications of deep learning ANNs in urological medicine.

Applications of neural networks in urology: a systematic review

Checcucci, Enrico;De Cillis, Sabrina;Granato, Stefano;
2020

Abstract

Over the last decade, major advancements in artificial intelligence technology have emerged and revolutionized the extent to which physicians are able to personalize treatment modalities and care for their patients. Artificial intelligence technology aimed at mimicking/simulating human mental processes, such as deep learning artificial neural networks (ANNs), are composed of a collection of individual units known as 'artificial neurons'. These 'neurons', when arranged and interconnected in complex architectural layers, are capable of analyzing the most complex patterns. The aim of this systematic review is to give a comprehensive summary of the contemporary applications of deep learning ANNs in urological medicine.
CURRENT OPINION IN UROLOGY
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Checcucci, Enrico; De Cillis, Sabrina; Granato, Stefano; Chang, Peter; Afyouni, Andrew Shea; Okhunov, Zhamshid
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/1755236
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