Diagnostic value of a dynamic artificial intelligence-based, ultrasound-assisted diagnostic system in differentiating between benign and malignant thyroid nodules with a diameter greater than 2 cm
With its non-invasive, safe, objective, and accurate advantages, dynamic AI can conduct real-time, multi-section, and multi-angle diagnosis. It can deeply analyze the subtle characteristics of large thyroid nodules and provide a more objective comprehensive assessment of thyroid nodules with a diameter >2 cm, enabling the precise diagnosis of the benignity or malignancy of these nodules. It promotes the homogenization of diagnosis and has important guiding significance for individualized diagnosis and treatment strategies, and the development of surgical resection ranges.
Authors
- Junwen Ding
- Mingbo Zhang (ORCID: https://orcid.org/0000-0003-3607-8814)
- Yanbing Jian
- Chen Li (ORCID: https://orcid.org/0000-0001-9845-6791)
- Bing Wang (ORCID: https://orcid.org/0000-0002-2918-8583)
- Linlin Zhang (ORCID: https://orcid.org/0000-0003-0204-7972)
- Zelong Yang
- Zheng Wan (ORCID: https://orcid.org/0009-0008-5218-0070)
- Xin Miao (ORCID: https://orcid.org/0009-0002-0489-1501)
- Wen Tian (ORCID: https://orcid.org/0000-0001-7994-0908)
- Xiaoyu Dong (ORCID: https://orcid.org/0000-0003-0678-4056)
- Jing Yao (ORCID: https://orcid.org/0009-0003-8632-518X)
Institutions
- Nankai University (CN)
- Chinese PLA General Hospital (CN)
- Chinese People's Liberation Army (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-09-24
- DOI
- https://doi.org/10.21037/qims-2025-253
- Primary Topic
- Thyroid Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00