| Literature DB >> 33925767 |
B M Zeeshan Hameed1,2,3,4, Aiswarya V L S Dhavileswarapu5, Syed Zahid Raza6, Hadis Karimi7, Harneet Singh Khanuja8, Dasharathraj K Shetty9, Sufyan Ibrahim3,10, Milap J Shah1,3, Nithesh Naik3,4,11, Rahul Paul12, Bhavan Prasad Rai13, Bhaskar K Somani1,3,14.
Abstract
Recent advances in artificial intelligence (AI) have certainly had a significant impact on the healthcare industry. In urology, AI has been widely adopted to deal with numerous disorders, irrespective of their severity, extending from conditions such as benign prostate hyperplasia to critical illnesses such as urothelial and prostate cancer. In this article, we aim to discuss how algorithms and techniques of artificial intelligence are equipped in the field of urology to detect, treat, and estimate the outcomes of urological diseases. Furthermore, we explain the advantages that come from using AI over any existing traditional methods.Entities:
Keywords: artificial intelligence; bladder cancer; endourology; fertility; hydronephrosis; kidney stone disease; machine learning; pediatric urology; prostate cancer; renal cell carcinoma; reproductive urology; urinary incontinence; urinary reflux; urolithiasis; urology
Year: 2021 PMID： 33925767 DOI： 10.3390/jcm10091864
Source DB: PubMed Journal: J Clin Med ISSN： 2077-0383 Impact factor: 4.241