Application of artificial intelligence in the diagnosis of thyroid nodules
10.3760/cma.j.cn115807-20250507-00121
- VernacularTitle:人工智能在甲状腺结节诊断中的应用
- Author:
Yeqin NI
1
;
Xujie WANG
;
Shuoying QIAN
;
Juncong FAN
;
Zekai ZHANG
;
Rong NI
;
Ningxin WANG
;
Dingcun LUO
Author Information
1. 西湖大学医学院附属杭州市第一人民医院肿瘤外科，杭州 310006
- Publication Type:Journal Article
- Keywords:
Thyroid nodules;
Artificial intelligence;
Deep learning
- From:
Chinese Journal of Endocrine Surgery
2025;19(4):478-481
- CountryChina
- Language:Chinese
-
Abstract:
The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.
