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Auto-US: An Ultrasound Video Diagnosis Agent Using Video Classification Framework and LLMs

arXiv — cs.CV•Wednesday, November 12, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The Auto-US project represents a significant advancement in AI-assisted ultrasound diagnosis, addressing the limitations of existing research in dataset diversity and clinical applicability. By constructing the CUV Dataset, which includes 495 ultrasound videos across various categories, the study enhances the foundation for training diagnostic models. The CTU-Net model, achieving an impressive accuracy of 86.73%, showcases the potential of machine learning in medical imaging. Furthermore, the integration of large language models allows Auto-US to provide meaningful diagnostic suggestions, with final scores exceeding 3 out of 5, validated by clinicians. This innovative approach not only improves diagnostic efficiency but also highlights the growing role of AI in healthcare, paving the way for more accurate and accessible medical imaging solutions.
— via World Pulse Now AI Editorial System
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