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Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

Authors :
Tugba Akinci D’Antonoli
Arnaldo Stanzione
Christian Bluethgen
Federica Vernuccio
Lorenzo Ugga
Michail E. Klontzas
Renato Cuocolo
Roberto Cannella
Burak Koçak
Source :
Diagnostic and Interventional Radiology, Vol 30, Iss 2, Pp 80-90 (2024)
Publication Year :
2024
Publisher :
Galenos Publishing House, 2024.

Abstract

With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To adopt and safely implement this new technology in the field, radiologists should be familiar with its key concepts, understand at least the technical basics, and be aware of the potential risks and ethical considerations that come with it. In this review article, the authors provide an overview of the LLMs that might be relevant to the radiology community and include a brief discussion of their short history, technical basics, ChatGPT, prompt engineering, potential applications in medicine and radiology, advantages, disadvantages and risks, ethical and regulatory considerations, and future directions.

Details

Language :
English
ISSN :
13053825 and 13053612
Volume :
30
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Diagnostic and Interventional Radiology
Publication Type :
Academic Journal
Accession number :
edsdoj.89d8a0da23854097922bd69b72ea4fcc
Document Type :
article
Full Text :
https://doi.org/10.4274/dir.2023.232417