A Risk Prediction Tool for Invasive Melanoma
This cohort study has identified an improved tool that offers enhanced accuracy for predicting the future risk of invasive melanoma compared with existing tools.
Authors
- Nirmala Pandeya (ORCID: https://orcid.org/0000-0003-1462-4968)
- David C. Whiteman (ORCID: https://orcid.org/0000-0003-2563-9559)
- Matthew H. Law (ORCID: https://orcid.org/0000-0002-4303-8821)
- Catherine M. Olsen (ORCID: https://orcid.org/0000-0003-4483-1888)
- Rachel Ε. Neale (ORCID: https://orcid.org/0000-0001-7162-0854)
- Hannah Wang (ORCID: https://orcid.org/0000-0002-0600-2555)
Institutions
- Queensland University of Technology (AU)
- The University of Queensland (AU)
- QIMR Berghofer Medical Research Institute (AU)
Publication Details
- Journal
- JAMA Dermatology
- Published
- 2025-09-10
- DOI
- https://doi.org/10.1001/jamadermatol.2025.3028
- Citations
- 1
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.05