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Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study”

Journal of the American Academy of Dermatology(2024)10.1016/j.jaad.2024.06.098Source: DataRank Database

Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study” is a research paper published in Journal of the American Academy of Dermatology (2024). On theSindex it has a DataRank of 0. It has been cited 7 times.

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Open Access7 citations

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Enrichment:Funding (5 grants)OA: bronzeTopics (10)IDs (PubMed, PMC)Annotations (1)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Gangqing Hu ORCID,Jinge Wang ORCID

Live enrichment

PubMed:39098661 PMC:PMC11602350

National Institute of General Medical Sciences

Grant: U54 GM-104942

National Institute of General Medical Sciences

Grant: P20 GM103434

NIGMS NIH HHS

Grant: U54 GM104942

National Science Foundation

Grant: 2125872

NRT-HDR: Bridges in Digital Health

National Institutes of Health

bronzeLicense: Elsevier TDM

publisherhttp://www.jaad.org/article/S0190962224025726/pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11602350/pdf/nihms-2021793.pdf

https://doi.org/10.1016/j.jaad.2024.06.098

https://pubmed.ncbi.nlm.nih.gov/39098661

https://pmc.ncbi.nlm.nih.gov/articles/PMC11602350/

Fields of Study

0202 electrical engineering, electronic engineering, information engineering02 engineering and technology

Keywords

MelanomaNeviSkin CancerFew-shot LearningLarge Language ModelsChatgptGpt-4vArticle

Boosting GPT-4V's accuracy in dermoscopic classification with few-shot learning. Comment on “can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study”

FAIR Checklist

Authors (2)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)