Patient perceptions of artificial intelligence integration in dermatology: a cross-sectional study of trust, comfort and equity across multiple care modalities

Patients strongly prefer AI as clinical support systems rather than autonomous decision-makers, especially for high-stakes and sensitive concerns. Differences in acceptance by race and skin tone point to the need for better representation in datasets and clearer communication about how these tools perform. Moving forward, development and implementation should emphasize clinician and patient involvement, fairness and patient choice to ensure AI is integrated into dermatology in a way that earns patient trust.

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Publication Details

Journal
Skin Health and Disease
Published
2025-10-14
DOI
https://doi.org/10.1093/skinhd/vzaf086
Primary Topic
Cutaneous Melanoma Detection and Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Patient perceptions of artificial intelligence integration in dermatology: a cross-sectional study of trust, comfort and equity across multiple care modalities

Charlotte McRae, Laci Turner, M. L. Anderson, Alexandra Savage et al.
Skin Health and Disease
Cutaneous Melanoma Detection and Management
article

Patient perceptions of artificial intelligence integration in dermatology: a cross-sectional study of trust, comfort and equity across multiple care modalities

Charlotte McRae, Laci Turner, M. L. Anderson, Alexandra Savage, Saleem Mohammad, Rachael Cowan, Lauren V Graham
article en

Abstract

Patients strongly prefer AI as clinical support systems rather than autonomous decision-makers, especially for high-stakes and sensitive concerns. Differences in acceptance by race and skin tone point to the need for better representation in datasets and clearer communication about how these tools perform. Moving forward, development and implementation should emphasize clinician and patient involvement, fairness and patient choice to ensure AI is integrated into dermatology in a way that earns patient trust.

Skin Health and DiseaseVol. 6(1)
University of Alabama at Birmingham (US)
Openalex Percentile: Top 31%
Cutaneous Melanoma Detection and Management
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