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AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review

Annals of Medicine(2023)10.1080/07853890.2023.2273497Source: DataRank Database

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review is a research paper published in Annals of Medicine (2023). On theSindex it has a DataRank of 0.612. It has been cited 58 times.

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0.612DataRank · unranked

Scored on demand from live citation data

Open Access58 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 4.45)OA: goldTopics (29)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (3)

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)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.612

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (7)

Kelly Copeland Cara ORCID,Xuechen Pei,Mei Chung ORCID,Shreyas Kamath ORCID,Karen Panetta ORCID

Live enrichment

PubMed:38060823 PMC:PMC10836267 OpenAlex:https://openalex.org/W4389429908

NIH

Grant: R21CA250024

National Institutes of Health

Grant: 1R21CA250024-01A1

AC/DC: Artificial intelligence and Computer visioning to assess Dietary Composition

FWCI

4.45

Citation Percentile

1.0%

Influential Citations

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://doi.org/10.1080/07853890.2023.2273497

GOLDhttps://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2273497?needAccess=true

publisherhttps://doi.org/10.1080/07853890.2023.2273497

publisherhttps://www.tandfonline.com/doi/pdf/10.1080/07853890.2023.2273497

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38060823

Fields of Study

Nutritional Studies and DietConsumer Attitudes and Food LabelingAgriculture Sustainability and Environmental ImpactMedicineComputer ScienceAgricultural and Food Sciences0303 health sciences03 medical and health sciences

MeSH Terms

Artificial IntelligenceEnergy IntakeDietHumansNutrition Assessment

Keywords

Ground truthArtificial intelligenceDeep learningComputer scienceMachine learningStatisticsMathematicsNutrition assessmentNutrition SurveysFood ImagesRDietMedicineHumansEnergy IntakeNutrition

Sustainable Development Goals

SDG 2: 2. Zero hungerSDG 3: 3. Good healthSDG 0: Zero hunger

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review

10.6084/m9.figshare.24768748.v1Taylor & Francis

AI-based digital image dietary assessment methods compared to humans and ground truth: a systematic review

10.6084/m9.figshare.24768748Taylor & Francis