Artificial intelligence based smartphone app for skin cancer detection: a prospective diagnostic accuracy study
Background: Smartphone apps for skin cancer detection are on the rise, but their reliability is a topic of concern. [1] We investigated the diagnostic accuracy and user acceptability of a widely promoted CE-marked smartphone application for skin cancer detection in a patient cohort that approximates the intended users.
Authors
- Johan Kips
- Isabelle Hoorens (ORCID: https://orcid.org/0000-0002-2513-035X)
- Liève Brochez (ORCID: https://orcid.org/0000-0001-6105-6719)
- Sofie Mylle (ORCID: https://orcid.org/0000-0001-9834-0596)
- E. Verhaeghe
- Emmely Genouw
- Alan Shen (ORCID: https://orcid.org/0000-0003-1744-2510)
- Jorien Papeleu (ORCID: https://orcid.org/0000-0003-3408-3820)
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- Ghent University Hospital (BE)
- Ghent University (BE)
Publication Details
- Journal
- EJC Skin Cancer
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.ejcskn.2025.100402
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00