TY - JOUR
T1 - Big Data Analytics in urology
T2 - the story so far and the road ahead
AU - Hameed, B. M.Zeeshan
AU - Aiswarya, Aiswarya V.L.
AU - Naik, Nithesh
AU - Karimi, Hadis
AU - Hegde, Padmaraj
AU - Rai, Bhavan Prasad
AU - Somani, Bhaskar K.
N1 - Funding Information:
Study conception and design: Bhavan Prasad Rai, Bhaskar K. Somani, Nithesh Naik Acquisition of data: Aiswarya V. L. S. Dhavileswarapu, Nithesh Naik, Hadis Karimi Analysis and interpretation of data: Nithesh Naik, B. M. Zeeshan Hameed, Padmaraj Hegde Drafting of manuscript: B. M. Zeeshan Hameed, Aiswarya V. L. S. Dhavileswarapu, Hadis Karimi Critical revision: Padmaraj Hegde, Bhavan Prasad Rai, Bhaskar K. Somani. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Publisher Copyright:
© The Author(s), 2021.
PY - 2021
Y1 - 2021
N2 - Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.
AB - Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.
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U2 - 10.1177/1756287221998134
DO - 10.1177/1756287221998134
M3 - Review article
AN - SCOPUS:85104899759
SN - 1756-2872
VL - 13
JO - Therapeutic Advances in Urology
JF - Therapeutic Advances in Urology
ER -