Generative artificial intelligence powered chatbots in urology.

IF 2.1 3区 医学 Q2 UROLOGY & NEPHROLOGY Current Opinion in Urology Pub Date : 2025-03-19 DOI:10.1097/MOU.0000000000001280
Zohaib Khawaja, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes
{"title":"Generative artificial intelligence powered chatbots in urology.","authors":"Zohaib Khawaja, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes","doi":"10.1097/MOU.0000000000001280","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose of review: </strong>The integration of artificial intelligence (AI) into healthcare has significantly impacted the way healthcare is delivered, particularly with generative AI-powered chatbots. This review aims to provide an analysis of the application, benefits, challenges and future of generative AI-powered chatbots in Urology.</p><p><strong>Recent findings: </strong>Recent advancements in AI have led to significant improvements in chatbot performance and applicability in healthcare. Generative AI chatbots have shown promise in patient education, symptom assessment, administrative tasks, and clinical decision-making in urology. Studies demonstrate their ability to reduce clinic burden, improve patient satisfaction, and enhance accessibility. However, concerns remain about accuracy, data privacy, and integration into clinical workflows.</p><p><strong>Summary: </strong>Increasing number of studies have shown the ability of generative AI to enhance urological practice. As technology advances, generative AI is likely to integrate into multiple aspects of urological practice. Concerns with generative AI will need to be examined before safe implementation.</p>","PeriodicalId":11093,"journal":{"name":"Current Opinion in Urology","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Urology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/MOU.0000000000001280","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose of review: The integration of artificial intelligence (AI) into healthcare has significantly impacted the way healthcare is delivered, particularly with generative AI-powered chatbots. This review aims to provide an analysis of the application, benefits, challenges and future of generative AI-powered chatbots in Urology.

Recent findings: Recent advancements in AI have led to significant improvements in chatbot performance and applicability in healthcare. Generative AI chatbots have shown promise in patient education, symptom assessment, administrative tasks, and clinical decision-making in urology. Studies demonstrate their ability to reduce clinic burden, improve patient satisfaction, and enhance accessibility. However, concerns remain about accuracy, data privacy, and integration into clinical workflows.

Summary: Increasing number of studies have shown the ability of generative AI to enhance urological practice. As technology advances, generative AI is likely to integrate into multiple aspects of urological practice. Concerns with generative AI will need to be examined before safe implementation.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
泌尿科人工智能生成聊天机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Current Opinion in Urology
Current Opinion in Urology 医学-泌尿学与肾脏学
CiteScore
5.00
自引率
4.00%
发文量
140
审稿时长
6-12 weeks
期刊介绍: ​​​​​​​​Current Opinion in Urology delivers a broad-based perspective on the most recent and most exciting developments in urology from across the world. Published bimonthly and featuring ten key topics – including focuses on prostate cancer, bladder cancer and minimally invasive urology – the journal’s renowned team of guest editors ensure a balanced, expert assessment of the recently published literature in each respective field with insightful editorials and on-the-mark invited reviews.
期刊最新文献
Large language models for automating clinical trial matching. The advance of artificial intelligence in outpatient urology: current applications and future directions. Ethical aspects of artificial intelligence: what urologists need to know. Generative artificial intelligence powered chatbots in urology. Integration of novel artificial intelligence tools in pediatric urologic practice.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1