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Large language models and the emergence phenomena()
This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer examples of potential applications within the ra...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265451/ https://www.ncbi.nlm.nih.gov/pubmed/37325497 http://dx.doi.org/10.1016/j.ejro.2023.100494 |
_version_ | 1785058534635864064 |
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author | Sorin, Vera Klang, Eyal |
author_facet | Sorin, Vera Klang, Eyal |
author_sort | Sorin, Vera |
collection | PubMed |
description | This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer examples of potential applications within the radiology field, and discuss risks and limitations. Our goal is to encourage radiologists to recognize and prepare for the impact this technology may have on radiology and medicine in the near future. |
format | Online Article Text |
id | pubmed-10265451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-102654512023-06-15 Large language models and the emergence phenomena() Sorin, Vera Klang, Eyal Eur J Radiol Open Article This perspective explores the potential of emergence phenomena in large language models (LLMs) to transform data management and analysis in radiology. We provide a concise explanation of LLMs, define the concept of emergence in machine learning, offer examples of potential applications within the radiology field, and discuss risks and limitations. Our goal is to encourage radiologists to recognize and prepare for the impact this technology may have on radiology and medicine in the near future. Elsevier 2023-06-06 /pmc/articles/PMC10265451/ /pubmed/37325497 http://dx.doi.org/10.1016/j.ejro.2023.100494 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Sorin, Vera Klang, Eyal Large language models and the emergence phenomena() |
title | Large language models and the emergence phenomena() |
title_full | Large language models and the emergence phenomena() |
title_fullStr | Large language models and the emergence phenomena() |
title_full_unstemmed | Large language models and the emergence phenomena() |
title_short | Large language models and the emergence phenomena() |
title_sort | large language models and the emergence phenomena() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10265451/ https://www.ncbi.nlm.nih.gov/pubmed/37325497 http://dx.doi.org/10.1016/j.ejro.2023.100494 |
work_keys_str_mv | AT sorinvera largelanguagemodelsandtheemergencephenomena AT klangeyal largelanguagemodelsandtheemergencephenomena |