The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

The differentiation between benign and malignant thyroid nodules is pivotal in clinical practice. However, current diagnostic systems face challenges, such as heterogeneity in ultrasound interpretation, the invasiveness of fine-needle aspiration cytology and indeterminate of results. Artificial intelligence (AI) has evolved from traditional machine learning to deep learning, enabling advances in image recognition, feature extraction, and multimodal data integration. Nevertheless, AI applications remain constrained by limitations, including the insufficiency of high-quality annotated data and inadequate cross-center generalizability. Future progress will focus on algorithm refinement, multimodal data fusion, and multicenter clinical validation to enhance model generalizability and diagnostic accuracy.

[ABSTRACT]AIM:ToobservehowfarnesoidXreceptor(FXR)functionedinconcanavalinA(ConA)-induced hepatitis (CIH) and the regulation of FXR-thyrotropin embryonic factor (TEF) pathway.METHODS:C57BL/6 mice were injected with Con A to induce hepatitis .The expression of FXR and TEF in the liver specimens was determined by qRT-PCR and Western blotting .The concentrations of serum ALT/AST and inflammatory cytokines IFN-γ, TNF-α, IL-4 and IL-2 in the blood samples were tested after Con A injection .RESULTS:FXR was down-regulated in CIH mice .TEF was up-regula-ted when FXR was activated by chenodeoxycholic acid (CDCA).Activation of FXR reduced the levels of aminotransferases and inflammatory cytokines IFN-γ, TNF-α, IL-4 and IL-2 in the CIH mice induced by Con A injection .CONCLUSION:FXR activation attenuates CIH mouse liver injury and reduces inflammatory cytokines .FXR activation results in TEF up-regu-lation.The FXR-TEF pathway may play a protective role in autoimmune hepatitis .