{"title":"Emerging Trends in Artificial Intelligence-Based Urological Imaging Technologies and Practical Applications.","authors":"Hyun Suh Kim, Eun Joung Kim, JungYoon Kim","doi":"10.5213/inj.2346286.143","DOIUrl":null,"url":null,"abstract":"<p><p>The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.</p>","PeriodicalId":14466,"journal":{"name":"International Neurourology Journal","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10715836/pdf/","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Neurourology Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.5213/inj.2346286.143","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/11/30 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
The integration of artificial intelligence (AI) into medical imaging has notably expanded its significance within urology. AI applications offer a broad spectrum of utilities in this domain, ranging from precise diagnosis achieved through image segmentation and anomaly detection to improved procedural assistance in biopsies and surgical interventions. Although challenges persist concerning data security, transparency, and integration into existing clinical workflows, extensive research has been conducted on AI-assisted imaging technologies while recognizing their potential to reshape urological practices. This review paper outlines current AI techniques employed for image analysis to offer an overview of the latest technological trends and applications in the field of urology.
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.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
