{"title":"The Current State of Artificial Intelligence Application in Urology.","authors":"Eui-Sun Kim, Sung-Jong Eun, Seunghyun Youn","doi":"10.5213/inj.2346336.168","DOIUrl":null,"url":null,"abstract":"<p><p>Artificial intelligence (AI) is being used in many areas of healthcare, including disease diagnosis and personalized treatment and rehabilitation management. Medical AI research and development has primarily focused on diagnosis, prediction, treatment, and management as an aid to patient care. AI is being utilized primarily in the areas of personal healthcare and diagnostic imaging. In the field of urology, significant investments are being made in the development of urination monitoring systems in the field of personal healthcare and ureteral stricture and urinary stone diagnosis solutions in the field of diagnostic imaging. In addition, AI technology is also being applied in the field of neurogenic bladder to develop risk monitoring systems based on video and audio data. This paper examines the application of AI to urological diseases and discusses the current trends and future prospects of AI research.</p>","PeriodicalId":14466,"journal":{"name":"International Neurourology Journal","volume":"27 4","pages":"227-233"},"PeriodicalIF":1.8000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10762373/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Neurourology Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5213/inj.2346336.168","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/31 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Artificial intelligence (AI) is being used in many areas of healthcare, including disease diagnosis and personalized treatment and rehabilitation management. Medical AI research and development has primarily focused on diagnosis, prediction, treatment, and management as an aid to patient care. AI is being utilized primarily in the areas of personal healthcare and diagnostic imaging. In the field of urology, significant investments are being made in the development of urination monitoring systems in the field of personal healthcare and ureteral stricture and urinary stone diagnosis solutions in the field of diagnostic imaging. In addition, AI technology is also being applied in the field of neurogenic bladder to develop risk monitoring systems based on video and audio data. This paper examines the application of AI to urological diseases and discusses the current trends and future prospects of AI research.
期刊介绍：
The International Neurourology Journal (Int Neurourol J, INJ) is a quarterly international journal that publishes high-quality research papers that provide the most significant and promising achievements in the fields of clinical neurourology and fundamental science. Specifically, fundamental science includes the most influential research papers from all fields of science and technology, revolutionizing what physicians and researchers practicing the art of neurourology worldwide know. Thus, we welcome valuable basic research articles to introduce cutting-edge translational research of fundamental sciences to clinical neurourology. In the editorials, urologists will present their perspectives on these articles. The original mission statement of the INJ was published on October 12, 1997.
INJ provides authors a fast review of their work and makes a decision in an average of three to four weeks of receiving submissions. If accepted, articles are posted online in fully citable form. Supplementary issues will be published interim to quarterlies, as necessary, to fully allow berth to accept and publish relevant articles.
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