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Fine-grained temporal alignment in multimodal analysis can boost depression and anxiety detection accuracy in older adults with MCI by over 10%.
Cross-modal attention reduces Doppler synthesis error by 39%, revealing the hidden mechanical contributions to fetal cardiovascular dynamics.
The unchecked fervor for pumping medical data into massive AI models risks exacerbating the AI carbon footprint and neglecting crucial issues like scientific repeatability.