Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports-Reference-Cited by-同舟云学术

Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports

Published:2023-10-01 Issue:1 Volume:309 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Mukherjee Pritam¹^ORCID,Hou Benjamin¹,Lanfredi Ricardo B.¹^ORCID,Summers Ronald M.¹^ORCID

Affiliation:

1. From the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bldg 10, Room 1C224D, 10 Center Dr, Bethesda, MD 20892-1182.

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.231147

Reference19 articles.

1. Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT

2. Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study

3. Evaluation of Automated Public De-Identification Tools on a Corpus of Radiology Reports

4. MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

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