ChatGPT and generative AI in urology and surgery—A narrative review

Abstract Introduction ChatGPT (generative pre‐trained transformer [GPT]), developed by OpenAI, is a type of generative artificial intelligence (AI) that has been widely utilised since its public release. It orchestrates an advanced conversational intelligence, producing sophisticated responses to qu...

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Main Authors: Shane Qin, Bodie Chislett, Joseph Ischia, Weranja Ranasinghe, Daswin deSilva, Jasamine Coles‐Black, Dixon Woon, Damien Bolton
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:BJUI Compass
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Online Access:https://doi.org/10.1002/bco2.390
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author Shane Qin
Bodie Chislett
Joseph Ischia
Weranja Ranasinghe
Daswin deSilva
Jasamine Coles‐Black
Dixon Woon
Damien Bolton
author_facet Shane Qin
Bodie Chislett
Joseph Ischia
Weranja Ranasinghe
Daswin deSilva
Jasamine Coles‐Black
Dixon Woon
Damien Bolton
author_sort Shane Qin
collection DOAJ
description Abstract Introduction ChatGPT (generative pre‐trained transformer [GPT]), developed by OpenAI, is a type of generative artificial intelligence (AI) that has been widely utilised since its public release. It orchestrates an advanced conversational intelligence, producing sophisticated responses to questions. ChatGPT has been successfully demonstrated across several applications in healthcare, including patient management, academic research and clinical trials. We aim to evaluate the different ways ChatGPT has been utilised in urology and more broadly in surgery. Methods We conducted a literature search of the PubMed and Embase electronic databases for the purpose of writing a narrative review and identified relevant articles on ChatGPT in surgery from the years 2000 to 2023. A PRISMA flow chart was created to highlight the article selection process. The search terms ‘ChatGPT’ and ‘surgery’ were intentionally kept broad given the nascency of the field. Studies unrelated to these terms were excluded. Duplicates were removed. Results Multiple papers have been published about novel uses of ChatGPT in surgery, ranging from assisting in administrative tasks including answering frequently asked questions, surgical consent, writing operation reports, discharge summaries, grants, journal article drafts, reviewing journal articles and medical education. AI and machine learning has also been extensively researched in surgery with respect to patient diagnosis and predicting outcomes. There are also several limitations with the software including artificial hallucination, bias, out‐of‐date information and patient confidentiality. Conclusion The potential of ChatGPT and related generative AI models are vast, heralding the beginning of a new era where AI may eventually become integrated seamlessly into surgical practice. Concerns with this new technology must not be disregarded in the urge to hasten progression, and potential risks impacting patients' interests must be considered. Appropriate regulation and governance of this technology will be key to optimising the benefits and addressing the intricate challenges of healthcare delivery and equity.
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spelling doaj-art-2d51977e0ce147618e20c544fae1ecf22025-08-20T01:59:51ZengWileyBJUI Compass2688-45262024-09-015992793510.1002/bco2.390ChatGPT and generative AI in urology and surgery—A narrative reviewShane Qin0Bodie Chislett1Joseph Ischia2Weranja Ranasinghe3Daswin deSilva4Jasamine Coles‐Black5Dixon Woon6Damien Bolton7Department of Urology Austin Health Heidelberg Victoria AustraliaDepartment of Urology Austin Health Heidelberg Victoria AustraliaDepartment of Urology Austin Health Heidelberg Victoria AustraliaDepartment of Anatomy and Developmental Biology Monash University Melbourne Victoria AustraliaResearch Centre for Data Analytics and Cognition La Trobe University Melbourne Victoria AustraliaDepartment of Urology Austin Health Heidelberg Victoria AustraliaDepartment of Urology Austin Health Heidelberg Victoria AustraliaDepartment of Urology Austin Health Heidelberg Victoria AustraliaAbstract Introduction ChatGPT (generative pre‐trained transformer [GPT]), developed by OpenAI, is a type of generative artificial intelligence (AI) that has been widely utilised since its public release. It orchestrates an advanced conversational intelligence, producing sophisticated responses to questions. ChatGPT has been successfully demonstrated across several applications in healthcare, including patient management, academic research and clinical trials. We aim to evaluate the different ways ChatGPT has been utilised in urology and more broadly in surgery. Methods We conducted a literature search of the PubMed and Embase electronic databases for the purpose of writing a narrative review and identified relevant articles on ChatGPT in surgery from the years 2000 to 2023. A PRISMA flow chart was created to highlight the article selection process. The search terms ‘ChatGPT’ and ‘surgery’ were intentionally kept broad given the nascency of the field. Studies unrelated to these terms were excluded. Duplicates were removed. Results Multiple papers have been published about novel uses of ChatGPT in surgery, ranging from assisting in administrative tasks including answering frequently asked questions, surgical consent, writing operation reports, discharge summaries, grants, journal article drafts, reviewing journal articles and medical education. AI and machine learning has also been extensively researched in surgery with respect to patient diagnosis and predicting outcomes. There are also several limitations with the software including artificial hallucination, bias, out‐of‐date information and patient confidentiality. Conclusion The potential of ChatGPT and related generative AI models are vast, heralding the beginning of a new era where AI may eventually become integrated seamlessly into surgical practice. Concerns with this new technology must not be disregarded in the urge to hasten progression, and potential risks impacting patients' interests must be considered. Appropriate regulation and governance of this technology will be key to optimising the benefits and addressing the intricate challenges of healthcare delivery and equity.https://doi.org/10.1002/bco2.390ChatGPTgenerative artificial intelligencemachine learningsurgeryurology
spellingShingle Shane Qin
Bodie Chislett
Joseph Ischia
Weranja Ranasinghe
Daswin deSilva
Jasamine Coles‐Black
Dixon Woon
Damien Bolton
ChatGPT and generative AI in urology and surgery—A narrative review
BJUI Compass
ChatGPT
generative artificial intelligence
machine learning
surgery
urology
title ChatGPT and generative AI in urology and surgery—A narrative review
title_full ChatGPT and generative AI in urology and surgery—A narrative review
title_fullStr ChatGPT and generative AI in urology and surgery—A narrative review
title_full_unstemmed ChatGPT and generative AI in urology and surgery—A narrative review
title_short ChatGPT and generative AI in urology and surgery—A narrative review
title_sort chatgpt and generative ai in urology and surgery a narrative review
topic ChatGPT
generative artificial intelligence
machine learning
surgery
urology
url https://doi.org/10.1002/bco2.390
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