Cargando…
The future landscape of large language models in medicine
Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564921/ https://www.ncbi.nlm.nih.gov/pubmed/37816837 http://dx.doi.org/10.1038/s43856-023-00370-1 |
_version_ | 1785118583317069824 |
---|---|
author | Clusmann, Jan Kolbinger, Fiona R. Muti, Hannah Sophie Carrero, Zunamys I. Eckardt, Jan-Niklas Laleh, Narmin Ghaffari Löffler, Chiara Maria Lavinia Schwarzkopf, Sophie-Caroline Unger, Michaela Veldhuizen, Gregory P. Wagner, Sophia J. Kather, Jakob Nikolas |
author_facet | Clusmann, Jan Kolbinger, Fiona R. Muti, Hannah Sophie Carrero, Zunamys I. Eckardt, Jan-Niklas Laleh, Narmin Ghaffari Löffler, Chiara Maria Lavinia Schwarzkopf, Sophie-Caroline Unger, Michaela Veldhuizen, Gregory P. Wagner, Sophia J. Kather, Jakob Nikolas |
author_sort | Clusmann, Jan |
collection | PubMed |
description | Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively interact with models like ChatGPT makes LLMs attractive tools in various fields, including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and comprehensive overview of the potentials and limitations of LLMs in clinical practice, medical research and medical education. |
format | Online Article Text |
id | pubmed-10564921 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105649212023-10-12 The future landscape of large language models in medicine Clusmann, Jan Kolbinger, Fiona R. Muti, Hannah Sophie Carrero, Zunamys I. Eckardt, Jan-Niklas Laleh, Narmin Ghaffari Löffler, Chiara Maria Lavinia Schwarzkopf, Sophie-Caroline Unger, Michaela Veldhuizen, Gregory P. Wagner, Sophia J. Kather, Jakob Nikolas Commun Med (Lond) Perspective Large language models (LLMs) are artificial intelligence (AI) tools specifically trained to process and generate text. LLMs attracted substantial public attention after OpenAI’s ChatGPT was made publicly available in November 2022. LLMs can often answer questions, summarize, paraphrase and translate text on a level that is nearly indistinguishable from human capabilities. The possibility to actively interact with models like ChatGPT makes LLMs attractive tools in various fields, including medicine. While these models have the potential to democratize medical knowledge and facilitate access to healthcare, they could equally distribute misinformation and exacerbate scientific misconduct due to a lack of accountability and transparency. In this article, we provide a systematic and comprehensive overview of the potentials and limitations of LLMs in clinical practice, medical research and medical education. Nature Publishing Group UK 2023-10-10 /pmc/articles/PMC10564921/ /pubmed/37816837 http://dx.doi.org/10.1038/s43856-023-00370-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Perspective Clusmann, Jan Kolbinger, Fiona R. Muti, Hannah Sophie Carrero, Zunamys I. Eckardt, Jan-Niklas Laleh, Narmin Ghaffari Löffler, Chiara Maria Lavinia Schwarzkopf, Sophie-Caroline Unger, Michaela Veldhuizen, Gregory P. Wagner, Sophia J. Kather, Jakob Nikolas The future landscape of large language models in medicine |
title | The future landscape of large language models in medicine |
title_full | The future landscape of large language models in medicine |
title_fullStr | The future landscape of large language models in medicine |
title_full_unstemmed | The future landscape of large language models in medicine |
title_short | The future landscape of large language models in medicine |
title_sort | future landscape of large language models in medicine |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10564921/ https://www.ncbi.nlm.nih.gov/pubmed/37816837 http://dx.doi.org/10.1038/s43856-023-00370-1 |
work_keys_str_mv | AT clusmannjan thefuturelandscapeoflargelanguagemodelsinmedicine AT kolbingerfionar thefuturelandscapeoflargelanguagemodelsinmedicine AT mutihannahsophie thefuturelandscapeoflargelanguagemodelsinmedicine AT carrerozunamysi thefuturelandscapeoflargelanguagemodelsinmedicine AT eckardtjanniklas thefuturelandscapeoflargelanguagemodelsinmedicine AT lalehnarminghaffari thefuturelandscapeoflargelanguagemodelsinmedicine AT lofflerchiaramarialavinia thefuturelandscapeoflargelanguagemodelsinmedicine AT schwarzkopfsophiecaroline thefuturelandscapeoflargelanguagemodelsinmedicine AT ungermichaela thefuturelandscapeoflargelanguagemodelsinmedicine AT veldhuizengregoryp thefuturelandscapeoflargelanguagemodelsinmedicine AT wagnersophiaj thefuturelandscapeoflargelanguagemodelsinmedicine AT katherjakobnikolas thefuturelandscapeoflargelanguagemodelsinmedicine AT clusmannjan futurelandscapeoflargelanguagemodelsinmedicine AT kolbingerfionar futurelandscapeoflargelanguagemodelsinmedicine AT mutihannahsophie futurelandscapeoflargelanguagemodelsinmedicine AT carrerozunamysi futurelandscapeoflargelanguagemodelsinmedicine AT eckardtjanniklas futurelandscapeoflargelanguagemodelsinmedicine AT lalehnarminghaffari futurelandscapeoflargelanguagemodelsinmedicine AT lofflerchiaramarialavinia futurelandscapeoflargelanguagemodelsinmedicine AT schwarzkopfsophiecaroline futurelandscapeoflargelanguagemodelsinmedicine AT ungermichaela futurelandscapeoflargelanguagemodelsinmedicine AT veldhuizengregoryp futurelandscapeoflargelanguagemodelsinmedicine AT wagnersophiaj futurelandscapeoflargelanguagemodelsinmedicine AT katherjakobnikolas futurelandscapeoflargelanguagemodelsinmedicine |