首页|人工智能在甲状腺结节超声诊断及预测甲状腺癌颈部淋巴结转移中的应用进展

人工智能在甲状腺结节超声诊断及预测甲状腺癌颈部淋巴结转移中的应用进展

扫码查看
超声是判别甲状腺结节良、恶性的首选影像学检查方法,具有便捷、无创、实时动态等优势,但存在一定的操作者主观性。近年来,随着人工智能技术的不断发展,其在辅助诊断甲状腺结节方面已取得了较大的进展,在预测甲状腺癌是否发生颈部淋巴结转移方面亦被研究。人工智能技术可以在一定程度上克服超声诊断中的操作者依赖性,提高诊断的准确性。本文就人工智能在甲状腺结节超声诊断及预测甲状腺癌颈部淋巴结转移中的应用进展作一综述。
Progress in the application of artificial intelligence in ultrasound diagnosis of thyroid nodules and prediction of cervical lymph node metastasis in thyroid cancer
Ultrasound is the preferred imaging method for differentiating between benign and malignant thy-roid nodules due to its convenience,non-invasiveness,and real-time capability.However,it involves a certain level of operator subjectivity.In recent years,with the continuous development of artificial intelligence tech-nology,significant progress has been made in its use for assisting in the diagnosis of thyroid nodules,as well as in predicting cervical lymph node metastasis in thyroid cancer.Artificial intelligence can partially over-come operator dependency in ultrasound diagnosis,thereby improving diagnostic accuracy.This article re-views the advances in the application of artificial intelligence in the ultrasound diagnosis of thyroid nodules and the prediction of cervical lymph node metastasis in thyroid cancer.

thyroid cancerartificial intelligenceultrasonographycervical lymph node metastasis

肖乐、鲁虹霞、蔡建民、李发荣

展开 >

广东医科大学 第一临床医学院,广东 湛江 524000

广东医科大学 深圳宝安临床医学院,广东 深圳 518100

深圳市宝安区人民医院 超声科,广东 深圳 518100

甲状腺癌 人工智能 超声检查 颈部淋巴结转移

2024

兰州大学学报(医学版)
兰州大学

兰州大学学报(医学版)

CSTPCD
影响因子:0.641
ISSN:1000-2812
年,卷(期):2024.50(9)