This paper is in the following e-collection/theme issue:

Natural Language Processing (706) Advanced Data Analytics in eHealth (142) AI Language Models in Health Care (61) Big Data (245) Machine Learning (1501) Chatbots and Conversational Agents (543) Generative Language Models Including ChatGPT (325)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55799, first published .
Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study

Authors of this article:

Qingxia Wu1 Author Orcid Image ;   Qingxia Wu2, 3 Author Orcid Image ;   Huali Li4 Author Orcid Image ;   Yan Wang1 Author Orcid Image ;   Yan Bai1 Author Orcid Image ;   Yaping Wu1 Author Orcid Image ;   Xuan Yu1 Author Orcid Image ;   Xiaodong Li1 Author Orcid Image ;   Pei Dong2, 3 Author Orcid Image ;   Jon Xue5 Author Orcid Image ;   Dinggang Shen5, 6 Author Orcid Image ;   Meiyun Wang1, 7 Author Orcid Image
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  2. Beşler M, Oleaga L, Junquero V, Merino C. Evaluating GPT-4o's Performance in the Official European Board of Radiology Exam: A Comprehensive Assessment. Academic Radiology 2024;31(11):4365 View
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