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Ethics of artificial intelligence in dermatology.
Chen, Maggie; Zhou, Albert E; Jain, Neelesh; Gronbeck, Christian; Feng, Hao; Grant-Kels, Jane M.
Affiliation
  • Chen M; Department of Dermatology, University of Maryland School of Medicine, Baltimore, Maryland, USA.
  • Zhou AE; Department of Dermatology, University of Conneticut School of Medicine, Farmington, Connecticut, USA.
  • Jain N; Department of Dermatology, University of Conneticut School of Medicine, Farmington, Connecticut, USA.
  • Gronbeck C; Department of Dermatology, University of Conneticut School of Medicine, Farmington, Connecticut, USA.
  • Feng H; Department of Dermatology, University of Conneticut School of Medicine, Farmington, Connecticut, USA.
  • Grant-Kels JM; Department of Dermatology, University of Conneticut School of Medicine, Farmington, Connecticut, USA; Department of Dermatology, University of Florida College of Medicine, Gainesville, Florida, USA. Electronic address: grant@uchc.edu.
Clin Dermatol ; 42(3): 313-316, 2024.
Article in En | MEDLINE | ID: mdl-38401700
ABSTRACT
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. AI implementation in dermatology, however, 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. We also examine the ways in which beneficence, nonmaleficence, 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 participating in the establishment of regulatory guidelines are essential to navigating ethical and responsible AI incorporation into dermatology.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Dermatology Limits: Humans Language: En Journal: Clin Dermatol Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Dermatology Limits: Humans Language: En Journal: Clin Dermatol Year: 2024 Document type: Article Affiliation country: Country of publication: