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A new dataset of 1,111 transvaginal ultrasound images with detailed annotations finally enables AI-powered diagnosis of Cesarean Scar Defects, a condition frequently missed by sonographers.
Multi-agent collaboration and retrieval augmentation can overcome the limitations of static parametric memory in LLMs, enabling more nuanced and accurate multimodal emotion recognition.
