Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions
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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Galenos Publishing House
2024-03-01
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| Series: | Diagnostic and Interventional Radiology |
| Subjects: | |
| Online Access: |
http://www.dirjournal.org/archives/archive-detail/article-preview/large-language-models-in-radiology-fundamentals-ap/62426
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| _version_ | 1797268918620913664 |
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| author | Tugba Akinci D’Antonoli Arnaldo Stanzione Christian Bluethgen Federica Vernuccio Lorenzo Ugga Michail E. Klontzas Renato Cuocolo Roberto Cannella Burak Koçak |
| author_facet | Tugba Akinci D’Antonoli Arnaldo Stanzione Christian Bluethgen Federica Vernuccio Lorenzo Ugga Michail E. Klontzas Renato Cuocolo Roberto Cannella Burak Koçak |
| author_sort | Tugba Akinci D’Antonoli |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-25T01:40:07Z |
| format | Article |
| id | doaj.art-89d8a0da23854097922bd69b72ea4fcc |
| institution | Directory Open Access Journal |
| issn | 1305-3825 1305-3612 |
| language | English |
| last_indexed | 2024-04-25T01:40:07Z |
| publishDate | 2024-03-01 |
| publisher | Galenos Publishing House |
| record_format | Article |
| series | Diagnostic and Interventional Radiology |
| spelling | doaj.art-89d8a0da23854097922bd69b72ea4fcc2024-03-08T07:38:32ZengGalenos Publishing HouseDiagnostic and Interventional Radiology1305-38251305-36122024-03-01302809010.4274/dir.2023.23241713049054Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directionsTugba Akinci D’Antonoli0Arnaldo Stanzione1Christian Bluethgen2Federica Vernuccio3Lorenzo Ugga4Michail E. Klontzas5Renato Cuocolo6Roberto Cannella7Burak Koçak8 Cantonal Hospital Baselland, Institute of Radiology and Nuclear Medicine, Liestal, Switzerland University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy University Hospital Zurich, University of Zurich, Institute for Diagnostic and Interventional Radiology, Zurich, Switzerland University Hospital of Padova, Department of Radiology, Padova, Italy University of Naples Federico II, Department of Advanced Biomedical Sciences, Naples, Italy Department of Medical Imaging, University Hospital of Heraklion, Crete, Greece & Department of Radiology, University of Crete, Heraklion, Crete, Greece & Computational Biomedicine Laboratory, Institute of Computer Science, FORTH, Heraklion, Crete, Greece University of Salerno, Department of Medicine, Surgery and Dentistry, Baronissi, Italy University of Palermo, Department of Biomedicine, Neuroscience and Advanced Diagnostics, Section of Radiology, Palermo, Italy University of Health Sciences, Basakşehir Çam and Sakura City Hospital, Clinic of Radiology, İstanbul, Türkiye 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. http://www.dirjournal.org/archives/archive-detail/article-preview/large-language-models-in-radiology-fundamentals-ap/62426 large language modelsnatural language processingartificial intelligencedeep learningchatgpt |
| spellingShingle | Tugba Akinci D’Antonoli Arnaldo Stanzione Christian Bluethgen Federica Vernuccio Lorenzo Ugga Michail E. Klontzas Renato Cuocolo Roberto Cannella Burak Koçak Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions Diagnostic and Interventional Radiology large language models natural language processing artificial intelligence deep learning chatgpt |
| title | Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions |
| title_full | Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions |
| title_fullStr | Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions |
| title_full_unstemmed | Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions |
| title_short | Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions |
| title_sort | large language models in radiology fundamentals applications ethical considerations risks and future directions |
| topic | large language models natural language processing artificial intelligence deep learning chatgpt |
| url |
http://www.dirjournal.org/archives/archive-detail/article-preview/large-language-models-in-radiology-fundamentals-ap/62426
|
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