SNOMED CT
PulseAugur coverage of SNOMED CT — every cluster mentioning SNOMED CT across labs, papers, and developer communities, ranked by signal.
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LLMs struggle to apply CBT principles despite theoretical knowledge
A new research paper explores the limitations of Large Language Models (LLMs) in applying Cognitive Behavioral Therapy (CBT) principles to affective reasoning. While LLMs demonstrate theoretical knowledge of CBT, they s…
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Machine learning aids cardiology EHR terminology extraction
Researchers have developed a machine learning technique to create a Cardiology Interface Terminology (CIT) for better highlighting of details within electronic health records (EHRs). This method involves a three-phase p…
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Schema-Grounded LLM Extracts Patient Data for Digital Twins
Researchers have developed SG-LLM, a novel method for extracting patient data from electronic health records to create digital twins. This approach grounds LLM extraction with schema constraints and a validation loop fo…
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New architecture links radiology report findings to evidence
Researchers have proposed a new reference architecture for structured radiology reporting that links evidence directly to report content. This human-supervised system aims to extract and organize structured information,…
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LongBEL framework improves biomedical entity linking with document context
Researchers have developed LongBEL, a new framework for biomedical entity linking that considers the entire document context rather than just individual mentions or sentences. This approach aims to improve consistency b…
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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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Neuro-symbolic AI advances offer explainability and reasoning beyond pure neural networks
Researchers are developing neuro-symbolic AI models that combine neural networks with symbolic reasoning to improve explainability and performance. Gyan, a novel non-transformer architecture, aims to overcome limitation…