Artificial intelligence in the urology multidisciplinary team meeting: can ChatGPT suggest European Association of Urology guideline‐recommended prostate cancer treatments?

BJU InternationalEarly View Research Letter Artificial intelligence in the urology multidisciplinary team meeting: can ChatGPT suggest European Association of Urology guideline-recommended prostate cancer treatments? Joseph Gabriel, Corresponding Author Joseph Gabriel [email protected] Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UK Correspondence: Joseph Gabriel, Department of Urology, Princess Royal Hospital, Lewes Road, Haywards Heath, RH16 4EX, UK. e-mail: [email protected]Search for more papers by this authorAbraham Gabriel, Abraham Gabriel St. George's, University of London, London, UKSearch for more papers by this authorLidia Shafik, Lidia Shafik Department of Medicine, Frimley Health NHS Foundation Trust, Frimley, UKSearch for more papers by this authorAmmar Alanbuki, Ammar Alanbuki Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UKSearch for more papers by this authorTim Larner, Tim Larner Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UKSearch for more papers by this author Joseph Gabriel, Corresponding Author Joseph Gabriel [email protected] Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UK Correspondence: Joseph Gabriel, Department of Urology, Princess Royal Hospital, Lewes Road, Haywards Heath, RH16 4EX, UK. e-mail: [email protected]Search for more papers by this authorAbraham Gabriel, Abraham Gabriel St. George's, University of London, London, UKSearch for more papers by this authorLidia Shafik, Lidia Shafik Department of Medicine, Frimley Health NHS Foundation Trust, Frimley, UKSearch for more papers by this authorAmmar Alanbuki, Ammar Alanbuki Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UKSearch for more papers by this authorTim Larner, Tim Larner Department of Urology, Princess Royal Hospital, Haywards Heath, Sussex, UKSearch for more papers by this author First published: 27 November 2023 https://doi.org/10.1111/bju.16240Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Supporting Information Filename Description bju16240-sup-0001-TableS1.docxWord 2007 document , 31.6 KB Table S1 Patient vignettes and ChatGPT vs real-world MDT meeting decision making. In the first column, the unedited patient vignette from the real-world MDT meeting is listed, which was fed into the ChatGPT 4.0 LLM. The second column lists the LLM's unedited response for the optimal treatments based on the EAU 2023 Prostate Cancer guidelines, with the summary in the third column. The fourth column lists the real-world MDT meeting recommendation, and in the fifth column whether concordance was present between ChatGPT and the real-world MDT meetings actual decision on treatment for the patient. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. References 1Gabriel J, Shafik L, Alanbuki A, Larner T. The utility of the ChatGPT artificial intelligence tool for patient education and enquiry in robotic radical prostatectomy. Int Urol Nephrol 2023; 55: 2717–2732 10.1007/s11255-023-03729-4 PubMedGoogle Scholar 2Davis R, Eppler M, Ayo -Ajibola O et al. Evaluating the effectiveness of artificial intelligence–powered large language models application in disseminating appropriate and readable health information in urology. J Urol 2023; 210: 688–694 10.1097/JU.0000000000003615 PubMedWeb of Science®Google Scholar 3Mottet N, Cornford P, van den Bergh R, Briers E, Expert patient advocate (European Prostate Cancer Coalition/Europa UOMO), Eberli D. EAU – EANM – ESTRO – ESUR – ISUP – SIOG Guidelines on Prostate Cancer [Internet]. EAU Guidelines. Edn. presented at the EAU Annual Congress Milan 2023. Available at: https://d56bochluxqnz.cloudfront.net/documents/full-guideline/EAU-EANM-ESTRO-ESUR-ISUP-SIOG-Guidelines-on-Prostate-Cancer-2023_2023-03-27-131655_pdvy.pdf. Accessed September 2023 Google Scholar 4Adhikari K, Naik N, Hameed BZ, Raghunath SK, Somani BK. Exploring the ethical, legal, and social implications of ChatGPT in urology. Curr Urol Rep 2023; Available at: https://doi.org/10.1007/s11934-023-01185-2. Online ahead of print. 10.1007/s11934-023-01185-2 PubMedWeb of Science®Google Scholar 5Cacciamani GE, Siemens DR, Gill I. Generative artificial intelligence in health care. J Urol 2023; 210: 723–725 10.1097/JU.0000000000003703 PubMedGoogle Scholar 6 ChatGPT can now see, hear, and speak [Internet]. Available at: https://openai.com/blog/chatgpt-can-now-see-hear-and-speak. Accessed October 2023 Google Scholar Early ViewOnline Version of Record before inclusion in an issue ReferencesRelatedInformation