Collaborative Enhancement of Consistency and Accuracy in US Diagnosis of Thyroid Nodules Using Large Language Models-Reference-Cited by-同舟云学术

Collaborative Enhancement of Consistency and Accuracy in US Diagnosis of Thyroid Nodules Using Large Language Models

Published:2024-03-01 Issue:3 Volume:310 Page:
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Wu Shao-Hong¹^ORCID,Tong Wen-Juan¹^ORCID,Li Ming-De¹^ORCID,Hu Hang-Tong¹^ORCID,Lu Xiao-Zhou¹^ORCID,Huang Ze-Rong¹^ORCID,Lin Xin-Xin¹^ORCID,Lu Rui-Fang¹^ORCID,Lu Ming-De¹^ORCID,Chen Li-Da¹^ORCID,Wang Wei¹^ORCID

Affiliation:

1. From the Department of Medical Ultrasonics, Ultrasomics Artificial Intelligence X-Laboratory, Institute of Diagnostic and Interventional Ultrasound, First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan Rd 2, Guangzhou 510080, People’s Republic of China (S.H.W., W.J.T., M.D. Li, H.T.H., Z.R.H., X.X.L., R.F.L., M.D. Lu, L.D.C., W.W.); and Department of Traditional Chinese Medicine, First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People’s Republic of China (X.Z.L.).

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.232255

Reference17 articles.

1. Will ChatGPT transform healthcare?

2. ChatGPT: the future of discharge summaries?

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

4. A Context-based Chatbot Surpasses Radiologists and Generic ChatGPT in Following the ACR Appropriateness Guidelines

5. GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study

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