Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence
Talyshinskii A. Naik N. Hameed B.M.Z. Juliebø-Jones P. Somani B.K.
January 2024Springer
Current Urology Reports
2024#25Issue 19 - 18 pp.
Purpose of Review: Artificial intelligence (AI) chatbots have emerged as a potential tool to transform urology by improving patient care and physician efficiency. With an emphasis on their potential advantages and drawbacks, this literature review offers a thorough assessment of the state of AI-driven chatbots in urology today. Recent Findings: The capacity of AI-driven chatbots in urology to give patients individualized and timely medical advice is one of its key advantages. Chatbots can help patients prioritize their symptoms and give advice on the best course of treatment. By automating administrative duties and offering clinical decision support, chatbots can also help healthcare providers. Before chatbots are widely used in urology, there are a few issues that need to be resolved. The precision of chatbot diagnoses and recommendations might be impacted by technical constraints like system errors and flaws. Additionally, issues regarding the security and privacy of patient data must be resolved, and chatbots must adhere to all applicable laws. Important issues that must be addressed include accuracy and dependability because any mistakes or inaccuracies could seriously harm patients. The final obstacle is resistance from patients and healthcare professionals who are hesitant to use new technology or who value in-person encounters. Summary: AI-driven chatbots have the potential to significantly improve urology care and efficiency. However, it is essential to thoroughly test and ensure the accuracy of chatbots, address privacy and security concerns, and design user-friendly chatbots that can integrate into existing workflows. By exploring various scenarios and examining the current literature, this review provides an analysis of the prospects and limitations of implementing chatbots in urology.
Artificial intelligence , Chatbot , GPT , Healthcare , Urology
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Department of Urology, Astana Medical University, Astana, Kazakhstan
Department of Mechanical and Industrial Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Karnataka, Manipal, 576104, India
Department of Urology, Father Muller Medical College, Karnataka, Mangalore, India
Department of Urology, Haukeland University Hospital, Bergen, Norway
Department of Clinical Medicine, University of Bergen, Bergen, Norway
Department of Urology, University Hospital Southampton, Southampton, United Kingdom
Department of Urology
Department of Mechanical and Industrial Engineering
Department of Urology
Department of Urology
Department of Clinical Medicine
Department of Urology
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