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医疗大数据结合大语言模型的应用展望
The application of big data technology combined with large language models is expected to make an enormous impact in the field of medicine. Herein, the prospects for the application of healthcare big data combined with large language models were discussed in several aspects, including first in assis...
Formato: | Online Artículo Texto |
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Lenguaje: | English |
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四川大学学报(医学版)编辑部
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579058/ https://www.ncbi.nlm.nih.gov/pubmed/37866938 http://dx.doi.org/10.12182/20230960301 |
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collection | PubMed |
description | The application of big data technology combined with large language models is expected to make an enormous impact in the field of medicine. Herein, the prospects for the application of healthcare big data combined with large language models were discussed in several aspects, including first in assisting doctors in making diagnosis and differential diagnosis and, then, in the field of evidence-based medicine. In addition, healthcare big data combined with large language models could also be applied in assisting doctors to conduct clinical and medical research. Through combining healthcare big data with large language models, medical diagnosis and treatment with improved precision, efficiency, and intelligence will be realized and greater contributions will be made to the field of human health. |
format | Online Article Text |
id | pubmed-10579058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | 四川大学学报(医学版)编辑部 |
record_format | MEDLINE/PubMed |
spelling | pubmed-105790582023-10-18 医疗大数据结合大语言模型的应用展望 Sichuan Da Xue Xue Bao Yi Xue Ban 大数据与人工智能技术在生物医学多场景的应用 The application of big data technology combined with large language models is expected to make an enormous impact in the field of medicine. Herein, the prospects for the application of healthcare big data combined with large language models were discussed in several aspects, including first in assisting doctors in making diagnosis and differential diagnosis and, then, in the field of evidence-based medicine. In addition, healthcare big data combined with large language models could also be applied in assisting doctors to conduct clinical and medical research. Through combining healthcare big data with large language models, medical diagnosis and treatment with improved precision, efficiency, and intelligence will be realized and greater contributions will be made to the field of human health. 四川大学学报(医学版)编辑部 2023-09-20 /pmc/articles/PMC10579058/ /pubmed/37866938 http://dx.doi.org/10.12182/20230960301 Text en © 2023《四川大学学报(医学版)》编辑部 版权所有 https://creativecommons.org/licenses/by-nc/4.0/开放获取 本文遵循知识共享署名—非商业性使用4.0国际许可协议(CC BY-NC 4.0),允许第三方对本刊发表的论文自由共享(即在任何媒介以任何形式复制、发行原文)、演绎(即修改、转换或以原文为基础进行创作),必须给出适当的署名,提供指向本文许可协议的链接,同时标明是否对原文作了修改;不得将本文用于商业目的。CC BY-NC 4.0许可协议访问 https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) https://creativecommons.org/licenses/by-nc/4.0/Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). In other words, the full-text content of the journal is made freely available for third-party users to copy and redistribute in any medium or format, and to remix, transform, and build upon the content of the journal. You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may not use the content of the journal for commercial purposes. For more information about the license, visit https://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) |
spellingShingle | 大数据与人工智能技术在生物医学多场景的应用 医疗大数据结合大语言模型的应用展望 |
title | 医疗大数据结合大语言模型的应用展望 |
title_full | 医疗大数据结合大语言模型的应用展望 |
title_fullStr | 医疗大数据结合大语言模型的应用展望 |
title_full_unstemmed | 医疗大数据结合大语言模型的应用展望 |
title_short | 医疗大数据结合大语言模型的应用展望 |
title_sort | 医疗大数据结合大语言模型的应用展望 |
topic | 大数据与人工智能技术在生物医学多场景的应用 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579058/ https://www.ncbi.nlm.nih.gov/pubmed/37866938 http://dx.doi.org/10.12182/20230960301 |
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