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Achieving near-perfect accuracy in sex classification and impressively low errors in estimating age, height, and weight from CT-derived images could revolutionize demographic assessments in medical imaging.
LLMs think their translations of medical reports are better than human translations, but radiologists disagree, revealing a critical flaw in using LLMs to self-evaluate specialized content.