Ethics 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 ethical and regulatory scaffolding needed to govern it safely. The Indian Council of Medical Research has addressed this gap conscientiously in March 2023 by publishing the Ethical Guidelines for Application of AI in Biomedical Research and Healthcare, India’s first dedicated ethics framework for medical AI. This article examines the ethical dimensions of AI in dermatology research and clinical practice through the lens of these guidelines, drawing on dermatology-specific evidence on algorithmic bias, consent, data privacy, transparency, and accountability, with recommendations for dermatologists, researchers, and ethics committees engaging with this technology.

Authors

Institutions

Publication Details

Journal
Indian Journal of Skin Allergy
Published
2026-10-17
DOI
https://doi.org/10.25259/ijsa_36_2026
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ethics of artificial intelligence use in dermatology research and healthcare

Amrita Sil, NilayKanti Das
Indian Journal of Skin Allergy
Artificial Intelligence in Healthcare and Education
article

Ethics of artificial intelligence use in dermatology research and healthcare

Amrita Sil, NilayKanti Das
article en

Abstract

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 ethical and regulatory scaffolding needed to govern it safely. The Indian Council of Medical Research has addressed this gap conscientiously in March 2023 by publishing the Ethical Guidelines for Application of AI in Biomedical Research and Healthcare, India’s first dedicated ethics framework for medical AI. This article examines the ethical dimensions of AI in dermatology research and clinical practice through the lens of these guidelines, drawing on dermatology-specific evidence on algorithmic bias, consent, data privacy, transparency, and accountability, with recommendations for dermatologists, researchers, and ethics committees engaging with this technology.

Indian Journal of Skin AllergyVol. 0
KPC Medical College and Hospital (IN), College of Medicine & Sagore Dutta Hospital (IN)
Good health and well-being
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.