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Artificial intelligence-enabled rapid diagnosis of COVID-19 patients

medRxiv(2020)10.1101/2020.04.12.20062661Source: DataRank Database

Artificial intelligence-enabled rapid diagnosis of COVID-19 patients is a research paper published in medRxiv (2020). On theSindex it has a DataRank of 0. It has been cited 72 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access72 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)OA: greenTopics (15)IDs (PubMed, OpenAlex)SDGs (2)

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 (28)

Hao-Chih Lee ORCID,Kaiyue Diao ORCID,Mingqian Huang ORCID,Bin Lin ORCID,Chenyu Liu ORCID

Live enrichment

PubMed:32511559 OpenAlex:https://openalex.org/W3016667461

National Institutes of Health

Grant: 5R01HL071021-07

In Vivo Molecular MRI of Atherothrombotic Lesions

National Institutes of Health

Grant: 5UL1TR001433-02

MSHS Translational Science Hub

NIBIB NIH HHS

Grant: P41 EB022544

green

repositoryhttps://www.medrxiv.org/content/medrxiv/early/2020/05/07/2020.04.12.20062661.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2020.04.12.20062661

repositoryhttps://doi.org/10.1101/2020.04.12.20062661

repositoryhttps://pubmed.ncbi.nlm.nih.gov/32511559

Fields of Study

COVID-19 diagnosis using AICOVID-19 Clinical Research StudiesRadiomics and Machine Learning in Medical Imaging03 medical and health sciences0302 clinical medicine

Keywords

MedicineCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Economic shortagePredictive valueFalse Negative ReactionsRadiologyInternal medicineDiseaseInfectious disease (medical specialty)

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being