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#clinical

3 curated events
papersTODAY 04:00 UTC

Study examines hindsight bias in clinical LLM temporal reasoning

A new arXiv paper argues that clinical language models are frequently assessed on retrospective patient records that already contain the eventual diagnosis, treatment response and outcome. Because those records expose information a real prospective decision-maker would not have, such benchmarks may reward models for exploiting future data instead of genuine reasoning. The work examines how this exposure shapes model judgments in clinical temporal tasks.

papersTODAY 04:00 UTC

Study compares end-to-end models for clinical SOAP note generation from audio

A new arXiv paper examines how well audio-language models can turn long doctor-patient conversations into structured SOAP clinical notes. The authors compare lightweight and heavyweight end-to-end approaches, noting that while cascaded speech recognition pipelines remain strong, end-to-end models tend to lose information or produce hallucinations. The work targets the modality gap in long-form clinical audio.

papersSEP 12 04:00 UTC

arXiv Paper Proposes Deterministic Math Solver for Clinical Language Models

A new arXiv preprint addresses the tendency of large language models to make arithmetic mistakes, which is risky in clinical calculators where an error can change a care recommendation. The authors argue against manually hardcoding each calculator as a separate validated function and instead propose a deterministic math solving approach for clinical language models. The abstract is truncated, so full details of the method and evaluation are not yet available.