Objectives: Discuss non invasive imaging of the skin and how it applies to both clinical dermatology, cosmetic dermatology and dermatologic surgery. Will discuss 3D photography, confocal microscopy, and dermoscopy.
Highlight the use of AI in dermatology for diagnosis of melanoma
Discuss the limitations and future advances
Introduction: The use of non invasive imaging is increasing in dermatology. This technology has been applied to diagnosis, management, monitoring, and more recently artificial intelligence. It is important to discuss the uses and limitations of the current technology including 3D total body photography, reflectance confocal microscopy, optical coherence tomography, and AI diagnosis. We will also discuss consumer facing technology such as mobile based applications.
Results: The use of technology such as total body photography, reflectance confocal microscopy, and dermoscopy have been shown to help dermatologists and physicians detect melanoma and other skin cancers earlier with a lower number needed to biopsy. The use deep neural networks have also improved artificial intelligence algorithms for the computer diagnosis of melanoma.
Conclusion: Technological advancements in non invasive imaging of the skin have improved and that coupled with artificial intelligence and machine learning will augment that practicing physician.
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请注明名称(个人,公司,学会等等): Canfield Scientific, Mavig, Lam Therapeutics
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