Skip to main content
Top
Published in: Current Urology Reports 1/2024

Open Access 19-09-2023 | Artificial Intelligence

Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence

Authors: Ali Talyshinskii, Nithesh Naik, B. M. Zeeshan Hameed, Patrick Juliebø-Jones, Bhaskar Kumar Somani

Published in: Current Urology Reports | Issue 1/2024

Login to get access

Abstract

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.
Literature
2.
go back to reference Al-Shamsi M. Addressing the physicians’ shortage in developing countries by accelerating and reforming the medical education: is it possible? J Adv Med Educ Prof. 2017;5:210–9.PubMedPubMedCentral Al-Shamsi M. Addressing the physicians’ shortage in developing countries by accelerating and reforming the medical education: is it possible? J Adv Med Educ Prof. 2017;5:210–9.PubMedPubMedCentral
16.
go back to reference Mark JR, McDougall C, Giri VN. Genetic testing guidelines and education of health care providers involved in prostate cancer care. In: Loughlin KR, editor. Prostate Cancer Genetics: Changing the Paradigm of Care. Elsevier inc.; 2021. p. 311–22. Mark JR, McDougall C, Giri VN. Genetic testing guidelines and education of health care providers involved in prostate cancer care. In: Loughlin KR, editor. Prostate Cancer Genetics: Changing the Paradigm of Care. Elsevier inc.; 2021. p. 311–22.
21.
go back to reference Ray R, Agar Z, Dutta P, Ganguly S, Sah P, Roy D. MenGO: a novel cloud-based digital healthcare platform for andrology powered by artificial intelligence, data science & analytics, bioinformatics and blockchain. Biomed Sci Instrum. 2021. https://doi.org/10.34107/KSZV7781.10476. Ray R, Agar Z, Dutta P, Ganguly S, Sah P, Roy D. MenGO: a novel cloud-based digital healthcare platform for andrology powered by artificial intelligence, data science & analytics, bioinformatics and blockchain. Biomed Sci Instrum. 2021. https://​doi.​org/​10.​34107/​KSZV7781.​10476.
22.
35.
go back to reference • Soni H, Ivanova J, Wilczewski H, Bailey A, Ong T, Narma A, et al. Virtual conversational agents versus online forms: patient experience and preferences for health data collection. Front Digit Health. 2022;4:954069. https://doi.org/10.3389/fdgth.2022.954069. Paper studying patient preferences for data collection. • Soni H, Ivanova J, Wilczewski H, Bailey A, Ong T, Narma A, et al. Virtual conversational agents versus online forms: patient experience and preferences for health data collection. Front Digit Health. 2022;4:954069. https://​doi.​org/​10.​3389/​fdgth.​2022.​954069. Paper studying patient preferences for data collection.
Metadata
Title
Potential of AI-Driven Chatbots in Urology: Revolutionizing Patient Care Through Artificial Intelligence
Authors
Ali Talyshinskii
Nithesh Naik
B. M. Zeeshan Hameed
Patrick Juliebø-Jones
Bhaskar Kumar Somani
Publication date
19-09-2023
Publisher
Springer US
Published in
Current Urology Reports / Issue 1/2024
Print ISSN: 1527-2737
Electronic ISSN: 1534-6285
DOI
https://doi.org/10.1007/s11934-023-01184-3