Hameed B M Zeeshan, S Dhavileswarapu Aiswarya V L, Naik Nithesh, Karimi Hadis, Hegde Padmaraj, Rai Bhavan Prasad, Somani Bhaskar K
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.
Department of Electronics and Communication, GITAM University, Gandhi Nagar, Rushi Konda, Visakhapatnam, Andhra Pradesh, India.
Ther Adv Urol. 2021 Mar 5;13:1756287221998134. doi: 10.1177/1756287221998134. eCollection 2021 Jan-Dec.
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.
人工智能（AI）在医学领域的应用已有成功记录，并被用于各种泌尿系统疾病，如肿瘤学、尿路结石、小儿泌尿外科、泌尿妇科、不孕症和重建手术。数据是人工智能的驱动力，在过去几十年里，医疗保健数据无疑呈激增态势。泌尿外科一直处于创新和研究的前沿，迅速采用各种技术来改善患者的治疗效果和就医体验。大数据分析取得的进展提高了人们对泌尿外科未来发展的期望。本综述旨在探讨大数据及其与人工智能的融合在泌尿外科的发展趋势和应用情况。我们探究了泌尿外科大数据的不同来源，并阐述了它们目前及未来的应用。随着多个数据库提供的数据支持，人工智能在泌尿外科的出现和应用呈现出积极的发展趋势。将大数据广泛用于泌尿系统疾病的诊断和治疗仍处于早期阶段，尚在验证之中。然而，未来大数据无疑将在泌尿系统疾病的管理中发挥重要作用。
