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":"243-249"},"PeriodicalIF":2.1000,"publicationDate":"2025-05-01","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":"2025/3/19 0:00:00","PubModel":"Epub","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.
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.
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