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Reviving ancient art with poetic precision, PoemColor outperforms state-of-the-art methods by harmonizing colorization with cultural semantics.
OrthoPilot outperformed seasoned orthopaedic experts in diagnostic reasoning, achieving a 10.6% increase in management success for complex musculoskeletal cases.
Pruning irrelevant visual tokens can boost medical reasoning performance by over 100%, transforming how VLMs approach sparse medical images.
ProtoPilot achieves a staggering 90.2% expert-preference rate in autonomous wet-lab experimentation, setting a new benchmark for protocol generation and execution.
The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.
LLMs can now dynamically create and refine their own scientific tools at test time, outperforming agents stuck with static toolsets.