title: [Artificial neural networks for decision making in urologic oncology].
abstract: This chapter presents a detailed introduction regarding Artificial Neural Networks (ANNs) and their contribution to modern Urologic Oncology. It includes a description of ANNs methodology and points out the differences between Artifical Intelligence and traditional statistic models in terms of usefulness for patients and clinicians, and its advantages over current statistical analysis.
authors.affiliation: Service d'urologie, Université médicale de Vienne, Währinger Gürtel 18-20, 1090 Vienne, Autriche.
authors.forename: M
authors.initials: M
authors.lastname: Remzi
authors.forename: B
authors.initials: B
authors.lastname: Djavan
mesh_terms: D018450:Disease Progression; D042241:Early Diagnosis; D006801:Humans; D008297:Male; D009367:Neoplasm Staging; D016571:Neural Networks, Computer; D011471:Prostatic Neoplasms / Q000175:diagnosis*; D014571:Urologic Neoplasms / Q000175:diagnosis*