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Shanghai Jiao Tong University, Artificial Intelligence Laboratory
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Entity-aware comparative reasoning can be learned from routine clinical data, leading to significant improvements in diagnostic accuracy and retrieval performance in radiology.
Static benchmarks fail to predict LLM performance in dynamic clinical settings, with top models only achieving 60.4% of expert criteria in real-world simulations.
Ditch slow, 2D motion proxies: GMOS directly segments moving objects from RGB video in 3D space and time, achieving state-of-the-art speed and accuracy.
