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Machine-learned "biological age clocks" may be tracking statistical artifacts rather than actual physiological decline, as regression to the mean skews systematically stronger in unhealthy individuals.
CoEV not only detects hallucinations in medical VLMs but also corrects them in real-time, enhancing diagnostic reliability without retraining.
VLMs struggle with precise localization in medical imaging, but injecting medical knowledge and using global-local attention can boost grounding accuracy by up to 3% AP50 and 2.6% mIoU.
