Yankai Jiang

MedPixel achieves state-of-the-art performance in medical image reasoning by seamlessly integrating pixel-level grounding with clinical language understanding.

OrthoPilot outperformed seasoned orthopaedic experts in diagnostic reasoning, achieving a 10.6% increase in management success for complex musculoskeletal cases.

ProtoPilot achieves a staggering 90.2% expert-preference rate in autonomous wet-lab experimentation, setting a new benchmark for protocol generation and execution.

SkeMex enables medical agents to evolve their reasoning capabilities by transforming raw experience into structured, reusable skills, outperforming traditional memory systems.

Medical MLLMs can achieve state-of-the-art reasoning performance, rivaling trillion-parameter models, by learning interpretable latent spaces with visual-semantic supervision, even without increasing inference costs.

LLMs can now dynamically create and refine their own scientific tools at test time, outperforming agents stuck with static toolsets.