Application of Artificial Intelligence Algorithms in Ultrasound Diagnosis of Thyroid Diseases

Objective: To explore the application effect of artificial intelligence algorithms in ultrasound diagnosis of thyroid diseases. Method: Select a certain number of suspected thyroid disease patients and use conventional ultrasound diagnostic methods and ultrasound diagnostic methods combined with artificial intelligence algorithms for detection and diagnosis. Compare the accuracy, specificity, sensitivity, and diagnostic time of two diagnostic methods. The results showed that artificial intelligence algorithm assisted diagnosis was superior to conventional ultrasound diagnosis in terms of accuracy, specificity, and sensitivity, while significantly shortening the diagnosis time. Conclusion: Artificial intelligence algorithms can effectively improve the accuracy and efficiency of ultrasound diagnosis of thyroid diseases, which is of great significance for improving the diagnostic effectiveness of thyroid diseases.