MP31-19 ARTIFICIAL INTELLIGENCE BASED MACHINE LEARNING MODELS PREDICT SPERM PARAMETER UPGRADING AFTER MICROSURGICAL VARICOCELE REPAIR: A MULTI-INSTITUTIONAL ANALYSIS

Recovery of spermatogenesis after microsurgical subinguinal varicocele repair in azoospermic men based on testicular histology.

OBJECTIVE Analyze whether testicular histologic patterns from a group of azoospermic men with varicocele is predictive of treatment outcome after subinguinal microsurgical varicocele repair. MATERIALS AND METHODS Seventeen azoospermic men underwent bilateral open single testis biopsy and microsurgical subinguinal repair of clinical varicoceles. RESULTS Histopathology of testicular biopsies ...

Next Generation Artificial Intelligence and Machine Learning

Machine learning - an artificial intelligence approach

Imagine that you get such certain awesome experience and knowledge by only reading a book. How can? It seems to be greater when a book can be the best thing to discover. Books now will appear in printed and soft file collection. One of them is this book machine learning an artificial intelligence approach. It is so usual with the printed books. However, many people sometimes have no space to br...

AB128. The impact of hormonal factors on sperm motility improvement after subinguinal microsurgical varicocele

© Translational Andrology and Urology. All rights reserved. Transl Androl Urol, 2015;4(S1) www.amepc.org/tau consequently. The tubules larger than 300 μm were sampled for immediate table side touch print smear examination and the tissues were transferred to Bouin’s fixatives for further pathological examination. The whole procedure was videotaped for future review. The location of sperm-positiv...

Using emotional intelligence to predict job stress: Artificial neural network and regression models

Introduction: These days, there is a consensus that emotional intelligence plays an important role in the success of individuals in different areas of life. Persons with higher emotional intelligence had lower stress in dealing with demands and pressures in the workplace. The purpose of this study was to use artificial neural network to predict job stress and to compare the performance of this ...