JAMA+ AI Conversations Can AI Improve Cost-Effectiveness of 3D Total-Body Photography?
Jul 24, 2025
Daniel Lindsay, an economist from QIMR in Queensland, dives into the innovative world of 3D total-body photography for melanoma detection. He discusses the recent study on the cost-effectiveness of this technology compared to traditional methods. The conversation touches on the role of AI in enhancing lesion detection while navigating the challenges of its economic evaluation. Lindsay also highlights unexpected findings related to excisions and the implications for clinical practice, emphasizing the need for reevaluating healthcare strategies.
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3D Photography Increased Interventions
- 3D total body photography led to more biopsies and excisions but fewer melanoma removals than usual care.
- This increased interventions without improved cost-effectiveness, surprising the researchers.
Early Melanomas Impact Quality Of Life Less
- Quality-adjusted life years showed little difference between 3D photography and usual care.
- Early stage melanomas may not significantly impact quality of life measures in high-risk patients.
Improve Cost-Effectiveness Through Workflow
- Current 3D photography with junior clinicians and teledermatologists is not cost-effective.
- Explore new clinical pathways and methods to implement this technology more efficiently.