ChatGPT in Clinical Medicine, Urology and Academia: A Review.
ChatGPT
artificial intelligence
machine learning
neural network
urology
Journal
Archivos espanoles de urologia
ISSN: 0004-0614
Titre abrégé: Arch Esp Urol
Pays: Spain
ID NLM: 0064757
Informations de publication
Date de publication:
Aug 2024
Aug 2024
Historique:
medline:
6
9
2024
pubmed:
6
9
2024
entrez:
6
9
2024
Statut:
ppublish
Résumé
This study aims to provide a comprehensive overview of the current literature on the utilisation of ChatGPT in the fields of clinical medicine, urology, and academic medicine, while also addressing the associated ethical challenges and potential risks. This narrative review conducted an extensive search of the PubMed and MEDLINE databases, covering the period from January 2022 to January 2024. The search phrases employed were "urologic surgery" in conjunction with "artificial intelligence", "machine learning", "neural network", "ChatGPT", "urology", and "medicine". The initial studies were chosen from the screened research to examine the possible interaction between those entities. Research utilising animal models was excluded. ChatGPT has demonstrated its usefulness in clinical settings by producing precise clinical correspondence, discharge summaries, and medical records, thereby assisting in these laborious tasks, especially with the latest iterations of ChatGPT. Furthermore, patients can access essential medical information by inquiring with ChatGPT. Nevertheless, there are multiple concerns regarding the correctness of the system, including allegations of falsified data and references. These issues emphasise the importance of having a doctor oversee the final result to guarantee patient safety. ChatGPT shows potential in academic medicine for generating drafts and organising datasets. However, the presence of guidelines and plagiarism-detection technologies is necessary to mitigate the risks of plagiarism and the use of faked data when using it for academic purposes. ChatGPT should be utilised as a supplementary tool by urologists and academicians. However, it is now advisable to have human oversight to guarantee patient safety, uphold academic integrity, and maintain transparency.
Sections du résumé
BACKGROUND
BACKGROUND
This study aims to provide a comprehensive overview of the current literature on the utilisation of ChatGPT in the fields of clinical medicine, urology, and academic medicine, while also addressing the associated ethical challenges and potential risks.
METHODS
METHODS
This narrative review conducted an extensive search of the PubMed and MEDLINE databases, covering the period from January 2022 to January 2024. The search phrases employed were "urologic surgery" in conjunction with "artificial intelligence", "machine learning", "neural network", "ChatGPT", "urology", and "medicine". The initial studies were chosen from the screened research to examine the possible interaction between those entities. Research utilising animal models was excluded.
RESULTS
RESULTS
ChatGPT has demonstrated its usefulness in clinical settings by producing precise clinical correspondence, discharge summaries, and medical records, thereby assisting in these laborious tasks, especially with the latest iterations of ChatGPT. Furthermore, patients can access essential medical information by inquiring with ChatGPT. Nevertheless, there are multiple concerns regarding the correctness of the system, including allegations of falsified data and references. These issues emphasise the importance of having a doctor oversee the final result to guarantee patient safety. ChatGPT shows potential in academic medicine for generating drafts and organising datasets. However, the presence of guidelines and plagiarism-detection technologies is necessary to mitigate the risks of plagiarism and the use of faked data when using it for academic purposes.
CONCLUSIONS
CONCLUSIONS
ChatGPT should be utilised as a supplementary tool by urologists and academicians. However, it is now advisable to have human oversight to guarantee patient safety, uphold academic integrity, and maintain transparency.
Identifiants
pubmed: 39238293
pii: 1724985504271-953166207
doi: 10.56434/j.arch.esp.urol.20247707.99
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
708-717Informations de copyright
© 2024 The Author(s).
Déclaration de conflit d'intérêts
The authors declare no conflict of interest.