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ZENODO
Other literature type . 2025
License: CC BY NC
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY NC
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY NC
Data sources: Datacite
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Claim

What are the ethical considerations for using AI in detecting and classifying skin cancer in clinical settings?

appsOther research productkeyboard_double_arrow_right Other ORP type , Other literature type 23 Sep 2025Publisher:Zenodo
Authors: Tripdatabase;

doi: 10.5281/zenodo.17783229 , 10.5281/zenodo.17783230

What are the ethical considerations for using AI in detecting and classifying skin cancer in clinical settings?

Abstract

Ethical considerations for AI in skin cancer detection involve addressing bias, ensuring transparency, safeguarding privacy, clarifying accountability, and preparing the clinical workforce. Holistic approaches are necessary to uphold ethical standards and equity in AI deployment.

Keywords

ethical, skin, classifying, cancer, considerations, detecting, clinical, using, settings

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Cancer Research