A Review of Genome Wide Association Studies for Erectile Dysfunction

Patel, Darshan P.; Pastuszak, Alexander W.; Hotaling, James M.

doi:10.1007/s11930-019-00231-w

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…One such case is the study by Patel et al based on identifying causes of ED through genome data. 43 Studies shown in Table 1 give an idea of the range of urologic diseases utilizing bioinformatics and genome databases for advancements in disease identification and treatment.…”

Section: Bioinformatics and Genomic Databasesmentioning

confidence: 99%

Big Data Analytics in urology: the story so far and the road ahead

Hameed

Dhavileswarapu

Naik

et al. 2021

Therapeutic Advances in Urology

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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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Section: Bioinformatics and Genomic Databasesmentioning

confidence: 99%