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Large language models are less effective at clinical prediction tasks than locally trained machine learning models

Journal of the American Medical Informatics Association(2025)10.1093/jamia/ocaf038Source: DataRank Database

Large language models are less effective at clinical prediction tasks than locally trained machine learning models is a research paper published in Journal of the American Medical Informatics Association (2025). On theSindex it has a DataRank of 0. It has been cited 38 times.

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Open Access38 citations

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Enrichment:Funding (3 grants)Impact (FWCI 12.40)OA: hybridTopics (43)IDs (PubMed, PMC, OpenAlex)Annotations (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 (10)

Chao Yan ORCID,Zhuohang Li ORCID,Xinmeng Zhang ORCID,Benjamin Collins ORCID,You Chen ORCID

Live enrichment

PubMed:40056436 PMC:PMC12012369 OpenAlex:https://openalex.org/W4408256269

National Institutes of Health

Grant: U54HG012510

National Institutes of Health

Grant: T15LM007450

National Science Foundation

Grant: IIS-1905558

FWCI

12.40

Citation Percentile

1.0%

Citation Trend

2025

2026

hybridLicense: cc-by

journalhttps://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocaf038/62347272/ocaf038.pdf

publisherhttps://academic.oup.com/jamia/advance-article-pdf/doi/10.1093/jamia/ocaf038/62347272/ocaf038.pdf

publisherhttps://academic.oup.com/jamia/article-pdf/32/5/811/62347272/ocaf038.pdf

journalhttps://doi.org/10.1093/jamia/ocaf038

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40056436

Fields of Study

Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcarePrivacy-Preserving Technologies in DataMachine LearningHumansElectronic Health RecordsFemaleROC CurveMaleAlgorithmsMiddle AgedLarge Language Models

MeSH Terms

Machine LearningLarge Language ModelsAlgorithmsFemaleHumansLanguageMaleMiddle AgedROC CurveElectronic Health Records

Keywords

Brier scoreMachine learningArtificial intelligenceComputer scienceReceiver operating characteristicGradient boostingContext (archaeology)Boosting (machine learning)CalibrationF1 scoreFidelityOddsMedicineRandom forestStatisticsLogistic regressionMathematicsPrivacyFairnessClinical Prediction ModelsLarge Language Models

Large language models are less effective at clinical prediction tasks than locally trained machine learning models

FAIR Checklist

Authors (10)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)