Artificial intelligence assisted ultrasound report generation

Artificial intelligence (AI) assisted ultrasound report generation represents a technology that leverages artificial intelligence to convert ultrasound imaging analysis results into structured diagnostic reports. By integrating image recognition and natural language generation models, AI systems can automatically detect and analyze lesions or abnormalities in ultrasound images, generating textual descriptions of diagnostic conclusions (e.g. , fatty liver, liver fibrosis, automated BI-RADS grading of breast lesions), imaging findings, and clinical recommendations to form comprehensive reports. This technology enhances the efficiency and accuracy of imaging diagnosis, reduces physicians’ workloads, ensures report standardization and consistency, and provides robust support for clinical decision-making. Current state-of-the-art algorithms for automated ultrasound report generation primarily rely on vision-language models, which harness the generalization capabilities of large language models and large vision models through multimodal (language + vision) feature alignment. However, existing approaches inadequately address challenges such as numerical measurement generation, effective u