Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

PubMed(2024)10.1145/3613904.3642343Source: DataRank Database

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis is a research paper published in PubMed (2024). On theSindex it has a DataRank of 0. It has been cited 75 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access75 citations

Download PDF

Cite:

Linked data & code

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis · arXiv

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 25.69)OA: goldTopics (24)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (11)

Jianing Yu ORCID,Xuhai Xu ORCID,Changchang Yin ORCID,Yuxuan Lu ORCID,Bingsheng Yao ORCID

Live enrichment

PubMed:38835626 PMC:PMC11149368 OpenAlex:https://openalex.org/W4396832329

National Science Foundation

Grant: IIS-2145625

National Institutes of Health

Grant: R01GM141279

NIH (National Institutes of Health)

Grant: 1R01MD018424-01

NIMHD NIH HHS

Grant: R01 MD018424

FWCI

25.69

Citation Percentile

1.0%

Citation Trend

2024

2025

2026

goldLicense: cc-by

https://dl.acm.org/doi/pdf/10.1145/3613904.3642343

publisherhttps://dl.acm.org/doi/10.1145/3613904.3642343

https://doi.org/10.1145/3613904.3642343

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38835626

Fields of Study

Machine Learning in HealthcareSepsis Diagnosis and TreatmentClinical Reasoning and Diagnostic Skills

Keywords

Computer scienceBenchmark (surveying)Software deploymentDecision support systemClinical decision support systemFormative assessmentClinical decision makingProcess (computing)Artificial intelligenceData scienceMedical decision makingSepsisMachine learningRisk analysis (engineering)MedicineSoftware engineeringPsychologyMedical emergencyIntensive care medicineSepsis DiagnosisHuman-ai Collaboration

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

10.48550/arxiv.2309.12368arXiv

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

FAIR Checklist

Authors (11)

Funding (4 grants)

Impact

Open Access

Topics

Linked Datasets (1)

Annotations (Europe PMC)