The goal of this intervention study is to learn about the diagnostic performance of artificial intelligence to assist the contrast-enhanced ultrasound diagnosis of thyroid nodules. The main questions it aims to answer are: 1. Can we develop an artificial intelligence model to assist the contrast-enhanced ultrasound diagnosis of thyroid nodules? 2. Can artificial intelligent reduce the unnecessary biopsy of thyroid nodules? Participants will be asked to undergo contrast-enhanced ultrasound examination and ultrasound-guided fine-needle aspiration of thyroid nodules. Researchers will calculate the diagnostic performance of the contrast-enhanced ultrasound diagnosis of thyroid nodules with and without artificial intelligent assistance.
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Diagnostic performance
Timeframe: First week after primary completion date.
The necessity of biopsy
Timeframe: First week after primary completion date.