Clinical notes on respiratory diseases
PulseAugur coverage of Clinical notes on respiratory diseases — every cluster mentioning Clinical notes on respiratory diseases across labs, papers, and developer communities, ranked by signal.
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New AI tool VERGE improves colorectal cancer symptom extraction from clinical notes
Researchers have developed VERGE, a novel agentic workflow designed to improve the extraction of early-onset colorectal cancer symptoms from clinical notes. This system utilizes retrieval-augmented generation for initia…
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LLM judges struggle to detect omissions in AI clinical notes, new research finds
A new research paper explores the limitations of Large Language Model (LLM) judges in detecting errors within AI-generated clinical notes. The study found that while LLM judges are effective at identifying added or alte…
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LLM framework enhances accuracy in identifying adverse drug events
A new research paper details a human-in-the-loop framework utilizing a retrieval-augmented, multi-agent large language model (LLM) to identify cutaneous immune-related adverse events (cirAEs) from clinical notes. This L…
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LLM-MINE framework extracts Alzheimer's phenotypes from clinical notes
Researchers have developed LLM-MINE, a framework utilizing large language models to extract phenotypes related to Alzheimer's Disease and Related Dementias (ADRD) from clinical notes. This method aims to improve early d…
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Medical LMs risk patient privacy, new evaluation framework shows
A new research paper introduces a privacy evaluation framework for medical language models, focusing on realistic threat models beyond simple text recovery. The framework assesses verbatim memorization and semantic leak…
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LLMs show mixed results in clinical applications, with reasoning capabilities proving detrimental in some cases
Two research papers explore the application of advanced Large Language Models (LLMs) in clinical settings, with differing conclusions on the benefits of reasoning capabilities. The first paper demonstrates that LLMs wit…