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The Future of Precision Prevention for Advanced Melanoma
Katie J Lee1, Brigid Betz-Stablein1, Mitchell S Stark1
1Dermatology Research Centre, The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia.
Frontiers in Medicine
|February 3, 2022
Summary
Precision prevention of advanced melanoma uses personalized risk stratification for tailored surveillance, aiming to reduce underdiagnosis and overdiagnosis. Artificial intelligence integrates multiple risk factors for accurate melanoma risk scoring.
Area of Science:
- Oncology
- Dermatology
- Medical Informatics
Background:
- Advanced melanoma prevention is evolving towards personalized strategies.
- Current surveillance methods may lead to underdiagnosis or overdiagnosis of melanoma.
- Holistic risk assessment is crucial for effective melanoma management.
Purpose of the Study:
- To introduce a personalized, holistic risk stratification approach for advanced melanoma prevention.
- To explore the role of artificial intelligence (AI) in melanoma risk assessment and diagnosis.
- To address challenges in implementing AI for melanoma surveillance.
Main Methods:
- Holistic risk stratification incorporating clinical phenotype, imaging phenotype, familial, and polygenic risks.
- Utilizing artificial intelligence (AI) computer-aided diagnostics for personalized risk scoring.
- Assessing digital and molecular markers of individual lesions with AI support.
Main Results:
- Personalized risk stratification enables tailored surveillance levels, from self-exams to advanced imaging.
- AI integrates diverse risk factors to generate individualized melanoma risk scores.
- AI assists in evaluating lesion-specific digital and molecular characteristics.
Conclusions:
- Precision prevention of advanced melanoma is becoming feasible through personalized risk stratification.
- AI integration offers a powerful tool for enhancing melanoma risk assessment and surveillance.
- Addressing privacy, standardization, and consumer trust is essential for AI adoption in melanoma care.
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