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

被引：56

作者：

D'Antonoli, Tugba Akinci ^{[1
]}

Stanzione, Arnaldo ^{[2
]}

Bluethgen, Christian ^{[3
]}

Vernuccio, Federica ^{[4
]}

Ugga, Lorenzo ^{[2
]}

Klontzas, Michail E. ^{[5
,6
,7
]}

Cuocolo, Renato ^{[8
]}

Cannella, Roberto ^{[9
]}

Kocak, Burak ^{[10
]}

机构：

[1] Cantonal Hosp Baselland, Inst Radiol & Nucl Med, Liestal, Switzerland

[2] Univ Naples Federico II, Dept Adv Biomed Sci, Naples, Italy

[3] Univ Zurich, Univ Hosp Zurich, Inst Diagnost & Intervent Radiol, Zurich, Switzerland

[4] Univ Hosp Padova, Dept Radiol, Padua, Italy

[5] Univ Hosp Heraklion, Dept Med Imaging, Iraklion, Greece

[6] Univ Crete, Dept Radiol, Iraklion, Greece

[7] FORTH, Inst Comp Sci, Computat Biomed Lab, Iraklion, Greece

[8] Univ Salerno, Dept Med Surg & Dent, Baronissi, Italy

[9] Univ Palermo, Sect Neurosurg, Dept Biomed Neurosci & Adv Diagnost, Palermo, Italy

[10] Univ Hlth Sci, Basaksehir Cam & Sakura City Hosp, Clin Radiol, Istanbul, Turkiye

来源：

DIAGNOSTIC AND INTERVENTIONAL RADIOLOGY | 2024年 / 30卷 / 02期

关键词：

Large language models; natural language processing; artificial intelligence; ChatGPT; deep learning;

D O I：

10.4274/dir.2023.232417

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：80 / 90

页数：11

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