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

AI Language Models in Health Care (224) Artificial Intelligence (2252) Imaging Informatics (318) Machine Learning (2173) New Methods (1154) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1781) Decision Support for Health Professionals (1594) Innovations and Technology for Cancer Prevention and Screening (209)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71740, first published .
Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

Optimizing Thyroid Nodule Management With Artificial Intelligence: Multicenter Retrospective Study on Reducing Unnecessary Fine Needle Aspirations

Authors of this article:

Jia-Hui Ni1 Author Orcid Image ;   Yun-Yun Liu1 Author Orcid Image ;   Chao Chen2 Author Orcid Image ;   Yi-Lei Shi3 Author Orcid Image ;   Xing Zhao3 Author Orcid Image ;   Xiao-Long Li4 Author Orcid Image ;   Bei-Bei Ye1 Author Orcid Image ;   Jing-Liang Hu3 Author Orcid Image ;   Li-Chao Mou3 Author Orcid Image ;   Li-Ping Sun1 Author Orcid Image ;   Hui-Jun Fu5 Author Orcid Image ;   Xiao-Xiang Zhu6 Author Orcid Image ;   Yi-Feng Zhang7 Author Orcid Image ;   Lehang Guo1 Author Orcid Image ;   Hui-Xiong Xu4 Author Orcid Image
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Journals

  1. Kustiawan Y, Ghauth K, Ghauth S, Toong L, Tan S. Artificial Intelligence Techniques for Thyroid Cancer Classification: A Systematic Review. Machine Learning and Knowledge Extraction 2026;8(2):27 View