Large language models such as ChatGPT and GPT-4 for patient-centered care in radiology

被引:4
作者
Fink, Matthias A. [1 ]
机构
[1] Univ Klinikum Heidelberg, Klin Diagnost & Intervent Radiol, Neuenheimer Feld 420, D-69120 Heidelberg, Germany
来源
RADIOLOGIE | 2023年 / 63卷 / 09期
关键词
Artificial Intelligence; Natural Language Processing; Machine Learning; Deep Learning; Patient-centred approach;
D O I
10.1007/s00117-023-01187-8
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
Background: With the introduction of ChatGPT in late November 2022, large language models based on artificial intelligence have gained worldwide recognition. These language models are trained on vast amounts of data, enabling them to process complex tasks in seconds and provide detailed, high-level text-based responses. Objective: To provide an overview of the most widely discussed large language models, ChatGPT and GPT-4, with a focus on potential applications for patient-centered radiology. Materials and methods: A PubMed search of both large language models was performed using the terms "ChatGPT" and "GPT-4", with subjective selection and completion in the form of a narrative review. Results: The generic nature of language models holds great promise for radiology, enabling both patients and referrers to facilitate understanding of radiological findings, overcome language barriers, and improve the quality of informed consent discussions. This could represent a significant step towards patient-centered or person-centered radiology. Conclusion: Large language models represent a promising tool for improving the communication of findings, interdisciplinary collaboration, and workflow in radiology. However, important privacy issues and the reliable applicability of these models in medicine remain to be addressed.
引用
收藏
页码:665 / 671
页数:7
相关论文
共 50 条
[41]   Patient-centered radiology reports with generative artificial intelligence: adding value to radiology reporting [J].
Park, Jiwoo ;
Oh, Kangrok ;
Han, Kyunghwa ;
Lee, Young Han .
SCIENTIFIC REPORTS, 2024, 14 (01)
[42]   Retrieval-augmented generation improves precision and trust of a GPT-4 model for emergency radiology diagnosis and classification: a proof-of-concept study [J].
Fink, Anna ;
Nattenmueller, Johanna ;
Rau, Stephan ;
Rau, Alexander ;
Tran, Hien ;
Bamberg, Fabian ;
Reisert, Marco ;
Kotter, Elmar ;
Diallo, Thierno ;
Russe, Maximilian F. .
EUROPEAN RADIOLOGY, 2025,
[43]   Generating colloquial radiology reports with large language models [J].
Tang, Cynthia Crystal ;
Nagesh, Supriya ;
Fussell, David A. ;
Glavis-Bloom, Justin ;
Mishra, Nina ;
Li, Charles ;
Cortes, Gillean ;
Hill, Robert ;
Zhao, Jasmine ;
Gordon, Angellica ;
Wright, Joshua ;
Troutt, Hayden ;
Tarrago, Rod ;
Chow, Daniel S. .
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2024, 31 (11) :2660-2667
[44]   What's Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory Study [J].
Eisinger, Felix ;
Holderried, Friederike ;
Mahling, Moritz ;
Stegemann-Philipps, Christian ;
Herrmann-Werner, Anne ;
Nazarenus, Eric ;
Sonanini, Alessandra ;
Guthoff, Martina ;
Eickhoff, Carsten ;
Holderried, Martin .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2025, 27
[45]   Accuracy of ChatGPT-3.5 and GPT-4 in diagnosing clinical scenarios in dermatology involving skin of color [J].
Qureshi, Simal ;
Alli, Sauliha Rabia ;
Ogunyemi, Boluwaji .
INTERNATIONAL JOURNAL OF DERMATOLOGY, 2024, 63 (11) :e353-e354
[46]   Impact of ChatGPT and Large Language Models on Radiology Education: Association of Academic Radiology-Radiology Research Alliance Task Force White Paper [J].
Ballard, David H. ;
Antigua-Made, Alexander ;
Barre, Emily ;
Edney, Elizabeth ;
Gordon, Emile B. ;
Kelahan, Linda ;
Lodhi, Taha ;
Martin, Jonathan G. ;
Ozkan, Melis ;
Serdynski, Kevin ;
Spieler, Bradley ;
Zhu, Daphne ;
Adams, Scott J. .
ACADEMIC RADIOLOGY, 2025, 32 (05) :3039-3049
[47]   Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT [J].
Lecler, Augustin ;
Duron, Loic ;
Soyer, Philippe .
DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2023, 104 (06) :269-274
[48]   Robustness of GPT Large Language Models on Natural Language Processing Tasks [J].
Xuanting C. ;
Junjie Y. ;
Can Z. ;
Nuo X. ;
Tao G. ;
Qi Z. .
Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2024, 61 (05) :1128-1142
[49]   Artificial intelligence in interventional radiotherapy (brachytherapy) : Enhancing patient-centered care and addressing patients' ' needs [J].
Fionda, Bruno ;
Placidi, Elisa ;
de Ridder, Mischa ;
Strigari, Lidia ;
Patarnello, Stefano ;
Tanderup, Kari ;
Hannoun-Levi, Jean-Michel ;
Siebert, Frank-Andre ;
Boldrini, Luca ;
Gambacorta, Maria Antonietta ;
De Spirito, Marco ;
Sala, Evis ;
Tagliaferri, Luca .
CLINICAL AND TRANSLATIONAL RADIATION ONCOLOGY, 2024, 49
[50]   CAN GPT-4 BE A VIABLE ALTERNATIVE FOR DISCUSSING COMPLEX CASES IN DIGITAL ORAL RADIOLOGY? A CRITICAL ANALYSIS [J].
Santana, Lucas Alves da Mota ;
Floresta, Lara Gois ;
Alves, Emilly Victoria Maciel ;
dos Santos, Marcos Antonio Lima ;
Barbosa, Breno Ferreira ;
Vasconcellos, Sara Juliana de Abreu de ;
Valadares, Carolina Vieira .
EXCLI JOURNAL, 2023, 22 :749-751