Assessment of Generative Artificial Intelligence Policies across Dermatology Journals
These findings highlight broad yet uneven adoption of GenAI policies in dermatology publishing. Gaps in specificity, transparency, and alignment with international standards may pose risks to research integrity, emphasizing the need for clearer, standardized, and field-specific editorial guidance on GenAI use.
Authors
- Mihir Patil
- Vinod E Nambudiri
- William J. Nahm (ORCID: https://orcid.org/0000-0002-2335-8780)
- Goranit Sakunchotpanit (ORCID: https://orcid.org/0009-0006-2125-0860)
- Daniel Nguyen
- Ryan Chen
Institutions
- Tufts University (US)
- Brigham and Women's Hospital (US)
- Harvard University (US)
- University of Massachusetts Chan Medical School (US)
- Illinois College (US)
- New York University (US)
Publication Details
- Journal
- Dermatology
- Published
- 2026-01-13
- DOI
- https://doi.org/10.1159/000550366
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00