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Detection of Gastrointestinal Bleeding With Large Language Models to Aid Quality Improvement and Appropriate Reimbursement

Gastroenterology(2024)10.1053/j.gastro.2024.09.014Source: DataRank Database

Detection of Gastrointestinal Bleeding With Large Language Models to Aid Quality Improvement and Appropriate Reimbursement is a research paper published in Gastroenterology (2024). On theSindex it has a DataRank of 0. It has been cited 17 times.

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17 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: closedTopics (21)IDs (PubMed)

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Authors (10)

Vipina K. Keloth ORCID,Kisung You ORCID,Daniel Kats ORCID,Darrick K. Li ORCID,Ohm Deshpande

Live enrichment

PubMed:39304088

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: K23 DK125718

National Institute of Diabetes and Digestive and Kidney Diseases

Grant: T35 DK104689

Yale School of Medicine

National Institutes of Health

closedLicense: https://www.elsevier.com/legal/tdmrep-license

publisherhttps://api.elsevier.com/content/article/PII:S0016508524054672?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0016508524054672?httpAccept=text/plain

MeSH Terms

HumansRecurrenceGastrointestinal HemorrhageEndoscopy, GastrointestinalReproducibility of ResultsPredictive Value of TestsAlgorithmsNatural Language ProcessingAgedMiddle AgedInsurance, Health, ReimbursementFemaleMaleElectronic Health RecordsQuality ImprovementMachine Learning

Keywords

Quality improvementAcute Gastrointestinal BleedingNature Language ProcessingGenerative Artificial IntelligenceLarge Language Models

Detection of Gastrointestinal Bleeding With Large Language Models to Aid Quality Improvement and Appropriate Reimbursement

FAIR Checklist

Authors (10)

Funding (4 grants)

Open Access

Topics