aceEthics of artificial intelligence use in dermatology research and healthcare
Artificial intelligence (AI) is transforming dermatology at a rapid pace unlike any other clinical specialty, largely because skin disease is diagnosed visually and, therefore, lends itself naturally to image-based machine learning. Convolutional neural networks now correspond with dermatologists in classifying pigmented lesions, teledermatology platforms triage patients across vast distances, and AI-enabled applications are increasingly available on patients’ screens. Yet this rapid uptake has outpaced the ethi…
AI uptake in dermatology has moved faster than the ethical and regulatory frameworks needed to govern it safely, raising concerns over bias, consent, privacy, transparency and accountability.
The supplied text gives only a framing summary and does not present the underlying evidence, so the extent of bias or harm in dermatology AI cannot be assessed from it.
Evidence
- Peer-reviewedIndian Journal of Skin Allergy2026-10-17
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Truvace Impact Record TRV-2026-1809, v1: “Ethics of artificial intelligence use in dermatology research and healthcare.” Truvace, 2026-10-18. /record/TRV-2026-1809 (accessed at citation time). sha256 6ae7c318020c89cc…
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