Yeganova Lana, Kim Won, Tian Shubo, Comeau Donald C, Wilbur W John, Lu Zhiyong
Division of Intramural Research (DIR), National Library of Medicine (NLM), National Institutes of Health (NIH), MD 20894 Bethesda, United States.
Nucleic Acids Res. 2025 Jul 7;53(W1):W361-W368. doi: 10.1093/nar/gkaf417.
LitSense 2.0 (https://www.ncbi.nlm.nih.gov/research/litsense2/) is an advanced biomedical search system enhanced with dense vector semantic retrieval, designed for accessing literature on sentence and paragraph levels. It provides unified access to 38 million PubMed abstracts and 6.6 million full-length articles in the PubMed Central (PMC) Open Access subset, encompassing 1.4 billion sentences and ∼300 million paragraphs, and is updated weekly. Compared to PubMed and PMC, the primary platforms for biomedical information search, LitSense offers cross-platform functionality by searching seamlessly across both PubMed and PMC and returning relevant results at a more granular level. Building on the success of the original LitSense launched in 2018, LitSense 2.0 introduces two major enhancements. The first is the addition of paragraph-level search: users can now choose to search either against sentences or against paragraphs. The second is improved retrieval accuracy via a state-of-the-art biomedical text encoder, ensuring more reliable identification of relevant results across the entire biomedical literature.
LitSense 2.0（https://www.ncbi.nlm.nih.gov/research/litsense2/）是一个先进的生物医学搜索系统，通过密集向量语义检索得到增强，旨在实现对句子和段落层面文献的访问。它提供对3800万篇PubMed摘要以及美国国立医学图书馆（NLM）的生物医学文献数据库（PMC）开放获取子集中660万篇全文文章的统一访问，涵盖14亿个句子和约3亿个段落，并且每周更新。与生物医学信息搜索的主要平台PubMed和PMC相比，LitSense通过在PubMed和PMC上无缝搜索并在更细粒度级别返回相关结果，提供跨平台功能。基于2018年推出的原始LitSense的成功，LitSense 2.0引入了两项重大改进。第一项是增加了段落级搜索：用户现在可以选择针对句子或段落进行搜索。第二项是通过先进的生物医学文本编码器提高检索准确性，确保在整个生物医学文献中更可靠地识别相关结果。
