ArticleFrontiers in research metrics and analytics2023
The road from manual to automatic semantic indexing of biomedical literature: a 10 years journey.
Article in Frontiers in research metrics and analytics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Automated indexing in MEDLINE and the Medical Text Indexer (MTI), 2000-2025: a scoping review.Journal of the Medical Library Association : JMLA · 2026Article
- Mapping the AI life sciences landscape in Greece: a bibliometric comparison with global patterns.Scientific reports · 2026Article
- A critical evaluation of generative query expansion on biomedical literature retrieval.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Where Evidence-Based Medicine Meets AI: Promise, Pitfalls, and Practice.AEM education and training · 2026Article
- A Similarity Metric, Rubric and Unified Hierarchy for Biomedical Publication Types and Study Designs.medRxiv : the preprint server for health sciences · 2026Article
- A similarity metric, rubric, and unified hierarchy for biomedical publication types and study designs.Database : the journal of biological databases and curation · 2026Article
- Goals and strategies for the indexing of publication types and study designs.Database : the journal of biological databases and curation · 2026Article
- High-precision information retrieval for rapid clinical guideline updates.NPJ digital medicine · 2025Article
- Automatic detection and extraction of key resources from tables in biomedical papers.BioData mining · 2025Article
- Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results.Journal of the Medical Library Association : JMLA · 2025Article
- Filtering failure: the impact of automated indexing in Medline on retrieval of human studies for knowledge synthesis.Journal of the Medical Library Association : JMLA · 2025Article
- Nested Named Entity Recognition using Multilayer BERT-based Model: Notebook for the BioASQ Lab at CLEF 2024.CEUR workshop proceedings. · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Biomedical experts are facing challenges in keeping up with the vast amount of biomedical knowledge published daily. With millions of citations added to databases like MEDLINE/PubMed each year, efficiently accessing relevant information becomes crucial. Traditional term-based searches may lead to irrelevant or missed documents due to homonyms, synonyms, abbreviations, or term mismatch. To address this, semantic search approaches employing predefined concepts with associated synonyms and relations have been used to expand query terms and improve information retrieval. The National Library of Medicine (NLM) plays a significant role in this area, indexing citations in the MEDLINE database with topic descriptors from the Medical Subject Headings (MeSH) thesaurus, enabling advanced semantic search strategies to retrieve relevant citations, despite synonymy, and polysemy of biomedical terms. Over time, advancements in semantic indexing have been made, with Machine Learning facilitating the transition from manual to automatic semantic indexing in the biomedical literature. The paper highlights the journey of this transition, starting with manual semantic indexing and the initial efforts toward automatic indexing. The BioASQ challenge has served as a catalyst in revolutionizing the domain of semantic indexing, further pushing the boundaries of efficient knowledge retrieval in the biomedical field.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.