Large language models and the emergence phenomena

Vera Sorin; Eyal Klang

doi:10.1016/j.ejro.2023.100494

Large language models and the emergence phenomena

Vera Sorin^*, Eyal Klang

^*Corresponding author for this work

Diagnostic Imaging

Research output: Contribution to journal › Letter › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Article number	100494
Journal	European Journal of Radiology Open
Volume	10
DOIs	https://doi.org/10.1016/j.ejro.2023.100494
State	Published - Jan 2023

Keywords

ChatGPT
Emergence
Generative models
LLMs

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10.1016/j.ejro.2023.100494

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abstract = "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.",

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author = "Vera Sorin and Eyal Klang",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors",

year = "2023",

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doi = "10.1016/j.ejro.2023.100494",

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KW - Generative models

KW - LLMs

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Large language models and the emergence phenomena

Abstract

Keywords

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