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ChatGPT encounters multiple opportunities and challenges in neurosurgery

BACKGROUND: ChatGPT, powered by the GPT model and Transformer architecture, has demonstrated remarkable performance in the domains of medicine and healthcare, providing customized and informative responses. In our study, we investigated the potential of ChatGPT in the field of neurosurgery, focusing...

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Autores principales: Kuang, Yi-Rui, Zou, Ming-Xiang, Niu, Hua-Qing, Zheng, Bo-Yv, Zhang, Tao-Lan, Zheng, Bo-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583932/
https://www.ncbi.nlm.nih.gov/pubmed/37352529
http://dx.doi.org/10.1097/JS9.0000000000000571
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author Kuang, Yi-Rui
Zou, Ming-Xiang
Niu, Hua-Qing
Zheng, Bo-Yv
Zhang, Tao-Lan
Zheng, Bo-Wen
author_facet Kuang, Yi-Rui
Zou, Ming-Xiang
Niu, Hua-Qing
Zheng, Bo-Yv
Zhang, Tao-Lan
Zheng, Bo-Wen
author_sort Kuang, Yi-Rui
collection PubMed
description BACKGROUND: ChatGPT, powered by the GPT model and Transformer architecture, has demonstrated remarkable performance in the domains of medicine and healthcare, providing customized and informative responses. In our study, we investigated the potential of ChatGPT in the field of neurosurgery, focusing on its applications at the patient, neurosurgery student/resident, and neurosurgeon levels. METHOD: The authors conducted inquiries with ChatGPT from the viewpoints of patients, neurosurgery students/residents, and neurosurgeons, covering a range of topics, such as disease diagnosis, treatment options, prognosis, rehabilitation, and patient care. The authors also explored concepts related to neurosurgery, including fundamental principles and clinical aspects, as well as tools and techniques to enhance the skills of neurosurgery students/residents. Additionally, the authors examined disease-specific medical interventions and the decision-making processes involved in clinical practice. RESULTS: The authors received individual responses from ChatGPT, but they tended to be shallow and repetitive, lacking depth and personalization. Furthermore, ChatGPT may struggle to discern a patient's emotional state, hindering the establishment of rapport and the delivery of appropriate care. The language used in the medical field is influenced by technical and cultural factors, and biases in the training data can result in skewed or inaccurate responses. Additionally, ChatGPT's limitations include the inability to conduct physical examinations or interpret diagnostic images, potentially overlooking complex details and individual nuances in each patient's case. Moreover, its absence in the surgical setting limits its practical utility. CONCLUSION: Although ChatGPT is a powerful language model, it cannot substitute for the expertise and experience of trained medical professionals. It lacks the capability to perform physical examinations, make diagnoses, administer treatments, establish trust, provide emotional support, and assist in the recovery process. Moreover, the implementation of Artificial Intelligence in healthcare necessitates careful consideration of legal and ethical concerns. While recognizing the potential of ChatGPT, additional training with comprehensive data is necessary to fully maximize its capabilities.
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spelling pubmed-105839322023-10-19 ChatGPT encounters multiple opportunities and challenges in neurosurgery Kuang, Yi-Rui Zou, Ming-Xiang Niu, Hua-Qing Zheng, Bo-Yv Zhang, Tao-Lan Zheng, Bo-Wen Int J Surg Editorials BACKGROUND: ChatGPT, powered by the GPT model and Transformer architecture, has demonstrated remarkable performance in the domains of medicine and healthcare, providing customized and informative responses. In our study, we investigated the potential of ChatGPT in the field of neurosurgery, focusing on its applications at the patient, neurosurgery student/resident, and neurosurgeon levels. METHOD: The authors conducted inquiries with ChatGPT from the viewpoints of patients, neurosurgery students/residents, and neurosurgeons, covering a range of topics, such as disease diagnosis, treatment options, prognosis, rehabilitation, and patient care. The authors also explored concepts related to neurosurgery, including fundamental principles and clinical aspects, as well as tools and techniques to enhance the skills of neurosurgery students/residents. Additionally, the authors examined disease-specific medical interventions and the decision-making processes involved in clinical practice. RESULTS: The authors received individual responses from ChatGPT, but they tended to be shallow and repetitive, lacking depth and personalization. Furthermore, ChatGPT may struggle to discern a patient's emotional state, hindering the establishment of rapport and the delivery of appropriate care. The language used in the medical field is influenced by technical and cultural factors, and biases in the training data can result in skewed or inaccurate responses. Additionally, ChatGPT's limitations include the inability to conduct physical examinations or interpret diagnostic images, potentially overlooking complex details and individual nuances in each patient's case. Moreover, its absence in the surgical setting limits its practical utility. CONCLUSION: Although ChatGPT is a powerful language model, it cannot substitute for the expertise and experience of trained medical professionals. It lacks the capability to perform physical examinations, make diagnoses, administer treatments, establish trust, provide emotional support, and assist in the recovery process. Moreover, the implementation of Artificial Intelligence in healthcare necessitates careful consideration of legal and ethical concerns. While recognizing the potential of ChatGPT, additional training with comprehensive data is necessary to fully maximize its capabilities. Lippincott Williams & Wilkins 2023-06-22 /pmc/articles/PMC10583932/ /pubmed/37352529 http://dx.doi.org/10.1097/JS9.0000000000000571 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Editorials
Kuang, Yi-Rui
Zou, Ming-Xiang
Niu, Hua-Qing
Zheng, Bo-Yv
Zhang, Tao-Lan
Zheng, Bo-Wen
ChatGPT encounters multiple opportunities and challenges in neurosurgery
title ChatGPT encounters multiple opportunities and challenges in neurosurgery
title_full ChatGPT encounters multiple opportunities and challenges in neurosurgery
title_fullStr ChatGPT encounters multiple opportunities and challenges in neurosurgery
title_full_unstemmed ChatGPT encounters multiple opportunities and challenges in neurosurgery
title_short ChatGPT encounters multiple opportunities and challenges in neurosurgery
title_sort chatgpt encounters multiple opportunities and challenges in neurosurgery
topic Editorials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10583932/
https://www.ncbi.nlm.nih.gov/pubmed/37352529
http://dx.doi.org/10.1097/JS9.0000000000000571
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