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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71740, first published .
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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

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
  2. 李 云. Overdiagnosis and Overtreatment of Thyroid Cancer and Precision Mitigation Strategies—An Integrated Analysis Based on Evidence-Based Medicine and Risk Stratification Models. Advances in Clinical Medicine 2026;16(04):4980 View
  3. Dong C, Liu Y, Yin J, Yan W, Sun J, Zhang X, Huo S, Yu F, Zhou Y. Artificial intelligence-assisted disease diagnosis: A narrative review of diagnostic advances and challenges toward clinical integration. DIGITAL HEALTH 2026;12 View
  4. Suo W, Guo C, Zhang X, Li H, Lai W, Zhang J, Jin J, Zhang J. Radiomics in thyroid nodule assessment. BMC Medical Imaging 2026;26(1) View
  5. Toro-Tobon D. The Artificial Intelligence “Goalkeeper”: Preventing Unnecessary Biopsies in the Era of Thyroid Cancer Overdiagnosis. Clinical Thyroidology® 2026;38(1):32 View