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Generative artificial intelligence powered chatbots in urology
Zohaib Khawaja1, Mohammed Zain Ulabedin Adhoni, Kevin Gerard Byrnes
1Department of Urology, Royal London Hospital, Barts Health NHS Trust, London, UK.
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.
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