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KampoBench Tests LLMs on Japanese Medicine Consultations

A medRxiv preprint introduces KampoBench, a physician-revised benchmark testing 10 large language models on 74 Japanese Kampo consultation scenarios. The results point to a gap between naming relevant information and applying it to a specific case.

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Simulated patient tests reveal gaps in AI intake chatbot conversations

A medRxiv preprint reports a remote, voice-based method for testing patient-facing AI intake chatbots with standardized-patient encounters. In a pilot, the chatbot covered fewer critical history elements in harder cases, while summary ratings remained near ceiling.

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Software Reconstructs Non-Clipped ECG Data Exactly from MUSE PDFs

Researchers report open-source MATLAB and Python software that recovered ECG waveforms with zero error from non-clipped GE MUSE vector PDFs in a test of 1,632 PDF–XML pairs. The method uses information retained in the PDFs’ vector encoding and is specific to MUSE-generated files.

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Preprint: 14 LLMs struggled to extract schizophrenia symptoms

A medRxiv preprint evaluated 14 general-purpose large language models on eight schizophrenia symptoms in clinical summaries from a 704-person severe mental illness cohort. Performance was poor to moderate overall, with negative symptoms extracted less accurately than positive symptoms.