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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
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