High-frequency ultrasound for thyroid cancer screening has been proven to reduce thyroid cancer-specific mortality. The promotion of thyroid cancer screening programs has led to a significant increase in the detection rate of thyroid nodules, and the need to differentiate between benign and malignant nodules has substantially increased the workload of ultrasound departments. The effectiveness of artificial intelligence (AI) in assisting the differentiation of benign and malignant thyroid nodules and formulating individualized treatment regimens has been preliminarily demonstrated. As an increasing number of AI products are being applied, in order to further standardize the application of AI technology in the clinical diagnosis and treatment of thyroid nodules, and improve the scientific management strategy of AI-assisted thyroid nodules, the Special Committee on Artificial Intelligence and Remote Ultrasound of Ultrasound Medical Branch of Shanghai Medical Association, the Artificial Intelligence and Remote Ultrasound of Ultrasound Medical Branch of Shanghai Association of Social Medical Institutions, and the Vasculature and Superficial Organ Group of Medical Ultrasound Branch of Chinese Medical Association jointly organized experts in this field. They formulated this consensus after thorough discussion based on the latest domestic and international literatures and clinical research data.