TY - JOUR
T1 - Artificial intelligence and its impact on urological diseases and management
T2 - A comprehensive review of the literature
AU - Zeeshan Hameed, B. M.
AU - Aiswarya Dhavileswarapu, V. L.S.
AU - Raza, Syed Zahid
AU - Karimi, Hadis
AU - Khanuja, Harneet Singh
AU - Shetty, Dasharathraj K.
AU - Ibrahim, Sufyan
AU - Shah, Milap J.
AU - Naik, Nithesh
AU - Paul, Rahul
AU - Rai, Bhavan Prasad
AU - Somani, Bhaskar K.
N1 - Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - 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.
AB - 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.
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U2 - 10.3390/jcm10091864
DO - 10.3390/jcm10091864
M3 - Review article
AN - SCOPUS:85108058795
SN - 2077-0383
VL - 10
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 9
M1 - 1864
ER -