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Seoul National University, Seoul National University Hospital
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Multilingual medical retrieval systems face a staggering performance drop, with scores plummeting from 0.818 in English to just 0.056 in Japanese, exposing a critical gap in current benchmarks.
Current medical vision-language models can't explain medical images to patients, but MedLayBench-V offers a way to fix that.
LLM-assisted scientific writing is producing more confident but homogenized prose, as evidenced by a 23% decline in hedging in the post-LLM era.
Quantifying uncertainty in physics-informed neural networks for medical imaging boosts accuracy and reliability, leading to better stroke assessment.
