Artificial Intelligence and Its Impact on Urological Diseases and Management: A Comprehensive Review of the Literature

• Published in: Journal of clinical medicine Vol. 10; no. 9; p. 1864
• Main Authors: Hameed, B. M. Zeeshan, S. Dhavileswarapu, Aiswarya V. L., Raza, Syed Zahid, Karimi, Hadis, Khanuja, Harneet Singh, Shetty, Dasharathraj K., Ibrahim, Sufyan, Shah, Milap J., Naik, Nithesh, Paul, Rahul, Rai, Bhavan Prasad, Somani, Bhaskar K.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 26.04.2021; MDPI
• Subjects: Algorithms; Artificial intelligence; Bladder cancer; Clinical medicine; Decision making; Decision trees; Deep learning; Disease; Health care industry; Kidney cancer; Machine learning; Medicine; Natural language processing; Neural networks; Patients; Pediatrics; Physicians; Predictive analytics; Prostate cancer; R&D; Research & development; Review; Urology; endourology; hydronephrosis; fertility; machine learning; urinary incontinence; artificial intelligence; kidney stone disease; prostate cancer; renal cell carcinoma; urinary reflux; pediatric urology; bladder cancer; urology; reproductive urology; urolithiasis
• ISSN: 2077-0383; 2077-0383
• DOI: 10.3390/jcm10091864

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.