ICD-10
PulseAugur coverage of ICD-10 — every cluster mentioning ICD-10 across labs, papers, and developer communities, ranked by signal.
5 day(s) with sentiment data
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AI framework integrates patient data with FDA reports for drug safety
Researchers have developed a novel multi-agent AI framework that integrates patient-generated data from platforms like Reddit and WebMD with official FDA adverse event reports for antidepressants. This system uses a kno…
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Clinical AI pipelines propagate transcription errors into SOAP notes
Clinical AI pipelines that transcribe audio and generate SOAP notes are prone to error propagation, where mistakes in early stages are amplified downstream. If a speech-to-text model mishears a drug name, the subsequent…
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New MedSynth Dataset Boosts AI for Medical Documentation
Researchers have introduced MedSynth, a novel dataset of synthetic medical dialogues and notes designed to improve AI models for medical documentation. The dataset contains over 10,000 dialogue-note pairs, covering more…
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LLM psychiatric diagnosis benchmark reveals accuracy gaps in complex cases
A new benchmark, LingxiDiagBench, has been developed to evaluate Large Language Models (LLMs) in Chinese psychiatric consultation and diagnosis. The benchmark includes a dataset of 16,000 synthetic dialogues, LingxiDiag…
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LLM-generated data boosts non-English clinical coding search
Researchers explored the effectiveness of generalistic versus specific embeddings for semantic search in clinical coding across non-English languages. They found that fine-tuning a Spanish biomedical encoder with LLM-ge…
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Multi-version training boosts rare ICD code prediction accuracy
Researchers have developed a multi-version training approach to improve the accuracy of automated clinical coding, particularly for rare medical codes. By incorporating data from different versions of the International …
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New MCP server integrates 7 medical terminologies for LLMs
A new Model Context Protocol (MCP) server called medical-terminologies-mcp has been released, providing unified access to seven major medical terminology systems. This tool is designed to help Large Language Models (LLM…
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LLMs generate privacy-safe synthetic clinical reports for data augmentation
Researchers have developed a new evaluation framework to assess the quality of synthetic clinical data generated by Large Language Models (LLMs). The framework measures semantic fidelity, lexical diversity, and privacy …