Real-world evaluation of the use of melanoma risk prediction tools by clinicians in Australia: a mixed-methods study
Abstract
Melanoma risk prediction tools have been developed to assist with estimating a person’s risk of developing a primary melanoma, yet their integration into clinical practice and their influence on decision making remains poorly understood. Using a mixed-methods approach, we aimed to evaluate the use of two online melanoma risk prediction tools – one for estimating risk of a first primary melanoma and the other for estimating risk of a subsequent primary melanoma – by clinicians in Australia. We found that the first primary and subsequent primary melanoma risk prediction tools were accepted by clinicians for use in routine practice; however, variability in their use and challenges in interpreting and applying risk results may hinder their full potential.
Fields of Study & Subjects
Cutaneous Melanoma Detection and Management
Artificial Intelligence in Healthcare and Education
AI in cancer detection
Publication details
- Journal / source
- British Journal of Dermatology
- Volume
- 194
- Issue
- 5
- Pages
- 957–959
- Publication date
- 7 January 2026
- Language
- EN