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Big Data Analytics in urology: the story so far and the road ahead.
Hameed, B M Zeeshan; S Dhavileswarapu, Aiswarya V L; Naik, Nithesh; Karimi, Hadis; Hegde, Padmaraj; Rai, Bhavan Prasad; Somani, Bhaskar K.
Afiliação
  • Hameed BMZ; Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India KMC Innovation Centre, Manipal Academy of Higher Education, Manipal, India iTRUE (International Training and Research in Uro-Oncology and Endourology) Group.
  • S Dhavileswarapu AVL; Department of Electronics and Communication, GITAM University, Gandhi Nagar, Rushi Konda, Visakhapatnam, Andhra Pradesh, India.
  • Naik N; Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
  • Karimi H; Department of Pharmacy, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, India.
  • Hegde P; Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India.
  • Rai BP; iTRUE (International Training and Research in Uro-Oncology and Endourology) Group Department of Urology, Freeman Hospital, Newcastle, UK.
  • Somani BK; Department of Urology, Kasturba Medical College Manipal, Manipal Academy of Higher Education, Manipal, India.
Ther Adv Urol ; 13: 1756287221998134, 2021.
Article em En | MEDLINE | ID: mdl-33747134
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ther Adv Urol Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ther Adv Urol Ano de publicação: 2021 Tipo de documento: Article