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LLMs can now generate clinically meaningful causal models of patient narratives with comparable quality to human experts, potentially automating a time-consuming clinical task.
MenstLLaMA demonstrates exceptional accuracy, empathy, and user satisfaction in menstrual health education, bridging critical gaps left by general-purpose LLMs.