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Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

PubMed(2024)10.1142/9789819807024_0015Source: DataRank Database

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 51 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access51 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 17.90)OA: goldTopics (28)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Qiao Jin ORCID,Xiao Wang ORCID,Minjia Zhang ORCID,Zhiyong Lu ORCID,Aidong Zhang ORCID

Live enrichment

PubMed:39670371 PMC:PMC11997844 OpenAlex:https://openalex.org/W4404622689

NLM NIH HHS

Grant: R01 LM014012

National Science Foundation

Grant: 2333740

Proto-OKN Theme 1: A Dynamically-Updated Open Knowledge Network for Health: Integrating Biomedical Insights with Social Determinants of Health

National Institutes of Health

Grant: 5R01LM014012-03

Continually Adaptive Machine Learning Platform for Personalized Biomedical Literature Curation and Exploration

FWCI

17.90

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: cc-by-nc

https://doi.org/10.1142/9789819807024_0015

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39670371

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11997844

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11997844/pdf/nihms-2064803.pdf

Fields of Study

Intelligent Tutoring Systems and Adaptive LearningTopic ModelingHumansComputational BiologyInformation Storage and RetrievalKnowledge BasesNatural Language ProcessingAlgorithms

MeSH Terms

AlgorithmsHumansNatural Language ProcessingInformation Storage and RetrievalComputational BiologyKnowledge Bases

Keywords

Computer scienceInformation retrievalArtificial intelligenceFOS: Computer and information sciencesComputer Science - Computation and LanguageArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceKnowledge BasesHumansComputational BiologyInformation Storage and RetrievalComputation and Language (cs.CL)AlgorithmsNatural Language Processing

Sustainable Development Goals

SDG 3: 3. Good health

Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions

FAIR Checklist

Authors (6)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)