Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention
Our data emphasize the potential of AI-assisted photoaging interventions to enhance motivation for UV protection in the short and the long term. We encourage that different age and gender groups are addressed in a personalized, generation-specific manner with the appropriate media and by considering the Hawthorne effect. Campaigns with visual AI support can improve the intent of cancer-preventative behavior.
Authors
- Lara Valeska Maul (ORCID: https://orcid.org/0000-0001-9202-0073)
- Alexander A. Navarini (ORCID: https://orcid.org/0000-0001-7059-632X)
- Lorena Gantenbein (ORCID: https://orcid.org/0000-0001-5138-759X)
- Julia‐Tatjana Maul (ORCID: https://orcid.org/0000-0002-9914-1545)
- Sara E. Cerminara (ORCID: https://orcid.org/0000-0001-6488-0834)
Institutions
- University of Zurich (CH)
- University Hospital of Basel (CH)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Dermatology
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1159/000541943
- Citations
- 3
- Primary Topic
- Skin Protection and Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.60