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Updated: Jan 20, 2026

A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
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人工智能辅助的甲状腺结节的风险分层与未确定的意义上的非典型性

Jinyoung Kim1, Jeongmin Lee1, Jeonghoon Ha1

  • 1Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.

European thyroid journal
|January 19, 2026
PubMed
概括

一个人工智能 (AI) 模型在评估具有不确定意义 (AUS) 细胞学的类型异常的甲状腺结节方面显示出希望. 这种人工智能工具具有高灵敏度和负预测价值,有助于对不确定的甲状腺结节的临床决策.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.甲状腺新生瘤的发生.甲状腺结节 甲状腺结节超声波学 超声波学 超声波学

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