人工智能在甲状腺结节良恶性超声诊断中的研究现状
| 作者: |
1,2王奔,
2邱健
1 西安医学院研究生处，西安 710068 2 陕西省人民医院普外科，西安 710068 |
| 通讯: |
邱健
Email: qiujian_263@126.com |
| DOI: | 10.3978/j.issn.2095-6959.2020.06.043 |
摘要
随着计算机科学的不断发展，人工智能技术自问世以来日趋完善成熟，目前已覆盖经济、科研等各个行业；在医学领域，人工智能主要涉及疾病的诊断、治疗、预后评估等方面。甲状腺结节发病率逐年升高，它起病隐匿，是甲状腺癌的最常见临床表现，早期地区分其良恶性是影响预后的关键因素。
关键词：
甲状腺结节；人工智能；医学人工智能；深度学习；计算机辅助诊断
Current status of artificial intelligence in the diagnosis of benign and malignant ultrasound of thyroid nodules
CorrespondingAuthor: QIU Jian Email: qiujian_263@126.com
DOI: 10.3978/j.issn.2095-6959.2020.06.043
Abstract
With the continuous development of computer science, artificial intelligence technology has become more and more mature since its inception. At present, it has covered various industries such as economy and scientific research. In the medical field, artificial intelligence mainly involves the diagnosis, treatment and prognosis evaluation of diseases. The incidence of thyroid nodules is increasing year by year. It is the most common clinical manifestation of thyroid cancer. The early stage is divided into benign and malignant factors, which is the key factor affecting prognosis.
Keywords：
thyroid nodules; artificial intelligence; medical artificial intelligence; machine learning; computer-aided diagnosis