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Hauptverfasser: Agarwal, Siddharth, Wood, David, Carpenter, Robin, Wei, Yiran, Modat, Marc, Booth, Thomas C
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2405.05647
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author Agarwal, Siddharth
Wood, David
Carpenter, Robin
Wei, Yiran
Modat, Marc
Booth, Thomas C
author_facet Agarwal, Siddharth
Wood, David
Carpenter, Robin
Wei, Yiran
Modat, Marc
Booth, Thomas C
contents This letter critically examines the recent article by Infante et al. assessing the utility of large language models (LLMs) like GPT-4, Perplexity, and Bard in identifying urgent findings in emergency radiology reports. While acknowledging the potential of LLMs in generating labels for computer vision, concerns are raised about the ethical implications of using patient data without explicit approval, highlighting the necessity of stringent data protection measures under GDPR.
format Preprint
id arxiv_https___arxiv_org_abs_2405_05647
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
Agarwal, Siddharth
Wood, David
Carpenter, Robin
Wei, Yiran
Modat, Marc
Booth, Thomas C
Computer Vision and Pattern Recognition
This letter critically examines the recent article by Infante et al. assessing the utility of large language models (LLMs) like GPT-4, Perplexity, and Bard in identifying urgent findings in emergency radiology reports. While acknowledging the potential of LLMs in generating labels for computer vision, concerns are raised about the ethical implications of using patient data without explicit approval, highlighting the necessity of stringent data protection measures under GDPR.
title Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2405.05647