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Related Experiment Video

Updated: May 17, 2025

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LitSense 2.0: AI-powered biomedical information retrieval with sentence and passage level knowledge discovery.

Lana Yeganova1, Won Kim1, Shubo Tian1

  • 1Division of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), MD 20894 Bethesda, United States.

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Summary

LitSense 2.0 enhances biomedical literature search by enabling sentence and paragraph-level retrieval across PubMed and PubMed Central (PMC). This advanced system improves accuracy with a new text encoder for better discovery.

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Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Computational Biology

Background:

  • PubMed and PubMed Central (PMC) are primary platforms for biomedical literature search.
  • Existing search systems may lack granular retrieval capabilities across both databases.
  • The original LitSense system provided sentence-level access to biomedical literature.

Purpose of the Study:

  • To introduce LitSense 2.0, an upgraded biomedical literature search system.
  • To enhance literature retrieval by enabling both sentence and paragraph-level search.
  • To improve search accuracy and provide unified access to PubMed and PMC data.

Main Methods:

  • Implementation of dense vector semantic retrieval.
  • Integration of a state-of-the-art biomedical text encoder.
  • Unified indexing of 38 million PubMed abstracts and 6.6 million PubMed Central (PMC) Open Access full-text articles.
  • Weekly updates to the literature corpus.

Main Results:

  • LitSense 2.0 offers unified search across PubMed and PMC.
  • Provides granular retrieval at both sentence and paragraph levels.
  • Enhanced retrieval accuracy through advanced text encoding.

Conclusions:

  • LitSense 2.0 represents a significant advancement in biomedical literature search.
  • The system facilitates more precise and comprehensive information discovery.
  • Enables researchers to access relevant information at a finer granularity than previously possible.