Artificial intelligence and neural networks in urology.

Introduction. The review is devoted to the analysis of world experience in use artificial intelligence medicine and urology. Materials methods. was conducted on basis data published PubMed, Scientific Electronic Library eLibrary.ru databases professional medical associations websites. article contains 43 scientific publications. Results. In this literature review, types neural networks features their application are considered detail. Special attention paid imaging, particularly Effectiveness accuracy developing connectionism method network (ANN) recent publications presented. Advantages disadvantages for a predictive model outlined. We also main mistakes displayed regarding unreliable or poorly created studies ANNs clinical practice. Conclusion. as tool daily practice specialist still limited. problems unreliability models lack easy-to-use algorithms.