Khawaja Zohaib, Adhoni Mohammed Zain Ulabedin, Byrnes Kevin Gerard
Department of Urology, Royal London Hospital, Barts Health NHS Trust, London, UK.
Curr Opin Urol. 2025 May 1;35(3):243-249. doi: 10.1097/MOU.0000000000001280. Epub 2025 Mar 19.
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 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.
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.
将人工智能(AI)整合到医疗保健领域已显著影响了医疗服务的提供方式,尤其是借助生成式人工智能驱动的聊天机器人。本综述旨在分析生成式人工智能驱动的聊天机器人在泌尿外科中的应用、益处、挑战及未来发展。
人工智能的最新进展已使聊天机器人在医疗保健领域的性能和适用性有了显著提升。生成式人工智能聊天机器人在泌尿外科的患者教育、症状评估、行政任务及临床决策方面已展现出前景。研究表明它们有能力减轻诊所负担、提高患者满意度并增强可及性。然而,对于准确性、数据隐私以及融入临床工作流程仍存在担忧。
越来越多的研究表明生成式人工智能有能力提升泌尿外科实践。随着技术进步,生成式人工智能可能会融入泌尿外科实践的多个方面。在安全实施之前,需要审视与生成式人工智能相关的问题。