Artificial intelligence assisted ultrasound report generation

Table 1 Comparison of artificial intelligence models for ultrasound report generation

Method	Architectural features	Clinical relevance
CNN-LSTM	Combines CNN and LSTM, suitable for processing sequential data	Performs well in handling image and sequence information, applicable for ultrasound image analysis
Transformer-based models	Based on self-attention mechanisms, capable of capturing long-range dependencies, suitable for parallel processing	Excels in generating natural language reports, suitable for complex ultrasound report generation
VLMs	Integrates visual and linguistic information, capable of understanding image content and generating related text	Outstanding performance in multimodal learning, enhances the accuracy and clinical relevance of ultrasound reports

CNN: Convolutional Neural Networks; LSTM: Long short-term memory networks; VLMs: Visual language models.