Application and research advances of artificial intelligence in the diagnosis of thyroid nodules
10.3760/cma.j.cn115396-20241130-00367
- VernacularTitle:人工智能在甲状腺结节诊断中的应用与研究进展
- Author:
Detao YIN
1
;
Tianlong GAO
Author Information
1. 郑州大学第一附属医院甲状腺外科，河南省甲状腺癌多学科诊疗工程研究中心，河南省甲状腺癌医学重点实验室，郑州 450052
- Keywords:
Thyroid nodule;
Artificial intelligence;
Ultrasonography;
Cells;
Pathology
- From:
International Journal of Surgery
2025;52(1):1-6
- CountryChina
- Language:Chinese
-
Abstract:
With the continuous advancement of diagnostic technologies, the detection rate of thyroid nodules in the population is steadily increasing. Diagnosis primarily relies on the Thyroid Imaging Reporting and Data System (TIRADS) and fine needle aspiration biopsy (FNAB) of thyroid nodules. High-resolution ultrasound is the most important imaging modality for diagnosing thyroid nodules, offering advantages such as convenience, flexibility, non-invasiveness, and no radiation. Ultrasound-guided fine needle aspiration biopsy is the most accurate and effective method for preoperative diagnosis of thyroid nodules. Artificial intelligence (AI), a branch of computer science, aims to enable machines to simulate or perform cognitive functions similar to human intelligence. AI is gradually being applied in the medical field and has gained significant attention in the diagnosis of thyroid nodules, significantly improving the efficiency and accuracy of diagnosis. This article will explore the research progress and application value of AI in the diagnosis of thyroid nodules from aspects such as thyroid nodule ultrasound imaging and cytopathology. The goal is to summarize the latest advancements in AI for the diagnosis of thyroid nodules, assist clinicians in understanding the current state of the field, and provide more accurate and comprehensive reference information for clinical decision-making in the diagnosis and treatment of thyroid nodules.
