Exploring the Views of Dermatologists, General Practitioners, and Melanographers on the Use of AI Tools in the Context of Good Decision-Making When Detecting Melanoma: Qualitative Interview Study
Clinicians conceptualized AI support in an array of disparate ways that have implications for how AI should be incorporated into clinical workflows. A priority for clinicians is the conservation of good clinical acumen, and our study encourages a more focused engagement with users about the precise way to incorporate AI into the clinical decision-making process for melanoma detection.
Authors
- Brad Partridge
- H. Peter Soyer (ORCID: https://orcid.org/0000-0002-4770-561X)
- Victoria Mar (ORCID: https://orcid.org/0000-0001-9423-3435)
- Monika Janda (ORCID: https://orcid.org/0000-0002-1728-8085)
- Nicole Gillespie (ORCID: https://orcid.org/0000-0002-6101-2123)
Institutions
- The University of Queensland (AU)
- The University of Melbourne (AU)
- Alfred Health (AU)
- Monash University (AU)
Publication Details
- Journal
- JMIR Dermatology
- Published
- 2025-02-03
- DOI
- https://doi.org/10.2196/63923
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65