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©The Author(s) 2025.
Artif Intell Med Imaging. Jun 8, 2025; 6(1): 107069
Published online Jun 8, 2025. doi: 10.35711/aimi.v6.i1.107069
Published online Jun 8, 2025. doi: 10.35711/aimi.v6.i1.107069
Table 2 Key concepts in ultrasound report generation
Concept | Description | Significance |
AI-assisted ultrasound report generation | Technology using AI to convert ultrasound imaging into structured diagnostic reports | Enhances efficiency, accuracy, and consistency of diagnosis |
VLMs | AI models that integrate visual (images) and linguistic (text) information | Enable understanding of image content and generation of descriptive text |
Image encoder | A component of VLMs that encodes image information | Transforms images into a format that the model can process |
Text encoder | A component of VLMs that encodes text information | Transforms text into a format that the model can process |
Attention mechanism | A technique that allows the model to focus on specific parts of the input (image or text) | Improves the model's ability to focus on important image regions and text |
LLMs | Transformer-based models pre-trained on large text corpora | Enhance the quality and fluency of generated text |
- Citation: Zeng JH, Zhao KK, Zhao NB. Artificial intelligence assisted ultrasound report generation. Artif Intell Med Imaging 2025; 6(1): 107069
- URL: https://www.wjgnet.com/2644-3260/full/v6/i1/107069.htm
- DOI: https://dx.doi.org/10.35711/aimi.v6.i1.107069