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ENTITY SNOMED CT

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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Total · 30d
6
6 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
5
5 over 90d
TIER MIX · 90D
TOPICS
RELATIONSHIPS
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. RESEARCH · CL_79136 ·

    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…

  2. TOOL · CL_51311 ·

    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…

  3. TOOL · CL_51017 ·

    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,…

  4. TOOL · CL_30775 ·

    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…

  5. TOOL · CL_27456 ·

    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…

  6. RESEARCH · CL_18542 ·

    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…