<p>ReXErr: Synthesizing clinically meaningful errors in diagnostic radiology reports</p>

Vishwanatha M Rao; Serena Zhang; Julian N Acosta; Subathra Adithan; Pranav Rajpurkar

doi:10.7490/f1000research.1120038.1

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Rao VM, Zhang S, Acosta JN et al. ReXErr: Synthesizing clinically meaningful errors in diagnostic radiology reports [version 1; not peer reviewed]. F1000Research 2024, 13:1451 (poster) (https://doi.org/10.7490/f1000research.1120038.1)

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ReXErr: Synthesizing clinically meaningful errors in diagnostic radiology reports

Vishwanatha M Rao, Serena Zhang, Julian N Acosta, Subathra Adithan, Pranav Rajpurkar¹

Published 01 Dec 2024 (https://doi.org/10.7490/f1000research.1120038.1)

Author Affiliations

¹ Harvard Medical School Department of Biomedical Informatics, Boston, Massachusetts, USA

Copyright © 2024 Rao VM et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 01 Dec 2024

ReXErr: Synthesizing clinically meaningful errors in diagnostic radiology reports
[version 1; not peer reviewed]

Vishwanatha M Rao, Serena Zhang, Julian N Acosta, Subathra Adithan, Pranav Rajpurkar¹

Author Affiliations

¹ Harvard Medical School Department of Biomedical Informatics, Boston, Massachusetts, USA

Presented at

Pacific Symposium on Biocomputing (PSB) 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Radiology Report Generation, Chest X-Rays, LLMs, Chat-GPT, Error Injection, Synthetic Data

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