Application of Artificial Intelligence in field of urological cancer

Artificial intelligence (AI) techniques like artificial neural networks, Bayesian belief networks and neurological fuzzy systems are widely adopted in urology.AI approach are found to be more exploratory as well as accurate in the terms of prediction compared to conventional statistics. The model is complex mathematical based models derived from working of human brain. A detailed study conducted in the field of urology using a technique resulted in finding new dynamic applications in the field of neurological cancer treatment. The results of machine learning techniques and implementation were focused on handling as well as prediction using artificial neural networks for the purpose of diagnosis, prognosis and treatment of cancer. Different techniques of AI depending on respective characteristics, where found suitable for different tasks.Also,the lack of transparency in neural networks was also overcome using neuro-fuzzy systems.

Author(s): Neel Gandhi

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