Ethics of AI in Dermatology.

accountability artificial intelligence autonomy beneficence justice maleficence security trust

Journal

Clinics in dermatology
ISSN: 1879-1131
Titre abrégé: Clin Dermatol
Pays: United States
ID NLM: 8406412

Informations de publication

Date de publication:
22 Feb 2024
Historique:
medline: 25 2 2024
pubmed: 25 2 2024
entrez: 24 2 2024
Statut: aheadofprint

Résumé

The integration of artificial intelligence (AI) in dermatology holds promise for enhancing clinical accuracy, enabling earlier detection of skin malignancies, suggesting potential management of skin lesions and eruptions, and promoting improved continuity of care. However, AI implementation in dermatology raises several ethical concerns. This review explores the current benefits and challenges associated with AI integration, underscoring ethical considerations related to autonomy, informed consent, and privacy. Herein we also examine the ways in which beneficence, non-maleficence, and distributive justice may be impacted. Clarifying the role of AI, striking a balance between security and transparency, fostering open dialogue with our patients, collaborating with developers of AI, implementing educational initiatives for dermatologists and their patients, and participation in the establishment of regulatory guidelines are essential to navigating ethical and responsible AI incorporation into dermatology.

Identifiants

pubmed: 38401700
pii: S0738-081X(24)00036-1
doi: 10.1016/j.clindermatol.2024.02.003
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest All authors declare that they have no commercial or other associations that might pose a conflict of interest.

Auteurs

Maggie Chen (M)

Department of Dermatology, University of Maryland School of Medicine, Baltimore, MD, USA.

Albert E Zhou (AE)

Department of Dermatology, University of Connecticut, Farmington, CT, USA.

Neelesh Jain (N)

Department of Dermatology, University of Connecticut, Farmington, CT, USA.

Christian Gronbeck (C)

Department of Dermatology, University of Connecticut, Farmington, CT, USA.

Hao Feng (H)

Department of Dermatology, University of Connecticut, Farmington, CT, USA.

Jane M Grant-Kels (JM)

Department of Dermatology, University of Connecticut, Farmington, CT, USA; Department of Dermatology, University of Florida, Gainesville, FL, USA. Electronic address: grant@uchc.edu.

Classifications MeSH