Advanced Skin Imaging Techniques for Patients with Skin of Color: Clinical and Technological Insights

Dorra Guermazi; Elie Saliba

doi:10.5826/dpc.1504a5762

Advanced Skin Imaging Techniques for Patients with Skin of Color: Clinical and Technological Insights

Authors

Dorra Guermazi Department of Dermatology, Warren Alpert Medical School of Brown University, Rhode Island, USA https://orcid.org/0000-0003-3638-909X
Elie Saliba Department of Dermatology, Warren Alpert Medical School of Brown University, Rhode Island, USA https://orcid.org/0000-0001-5994-3212

Keywords:

skin imaging, Skin of color, dermatoscopy, Artificial Intelligence, Autoimmune bullous dermatoses

Abstract

Introduction: Skin imaging has transformed dermatology by enabling non-invasive diagnosis, monitoring, and treatment of various skin conditions. However, imaging skin of color presents unique challenges and opportunities due to variations in melanin content and skin structure.

Objectives: By focusing on the unique aspects of skin of color, this review aims to promote equitable healthcare and encourage the adoption of advanced imaging technologies across all skin types.

Methods: This review paper provides a comprehensive overview of the current state of skin imaging technologies, including optical, non-optical, and hybrid modalities, and their specific applications in dermatology.

Results: We discuss the diagnostic complexities associated with skin cancers, inflammatory conditions, and infectious diseases in diverse skin tones, underscoring the need for tailored imaging techniques. The review also explores advances in artificial intelligence and machine learning, highlighting their potential to enhance image analysis and diagnostic accuracy for skin of color.

Conclusion: We address the technical limitations, biological variability, and ethical considerations in skin imaging, ultimately advocating for more inclusive research and development. Future directions include the development of innovative imaging modalities and personalized medicine approaches that consider the diverse spectrum of human skin.

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