This study aims to explore the application of AI-assisted ultrasound technology in the preoperative assessment of thyroid cancer. Traditional ultrasound examination data from thyroid cancer patients will be collected, and AI systems will be utilized to detect and diagnose thyroid nodules and lymph nodes. In cases where there is disagreement between the two-dimensional ultrasound and AI system results, further confirmation will be sought through biopsy. Subsequently, pathological results will serve as the gold standard for comparison between the AI system and traditional ultrasound examination results, assessing their accuracy and reliability. Through this research endeavor, a more accurate and reliable method for preoperative assessment of thyroid cancer is aspired to be offered, thereby supporting clinical decision-making and paving the way for novel applications of AI in the field of medical imaging diagnosis.