Artificial Intelligence (AI)—the intelligence possessed by machines is having a profound impact on every aspect of the healthcare ecosystem, and dermatology is no exception.

AI introduces a paradigm shift—a fundamental change—in the way we practice making it necessary for every dermatologist to have a broad understanding of AI.

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AI surpasses dermatologists in skin cancer detection.

AI has many applications in dermatology ranging from fundamental research, diagnostics, therapeutics, and cosmetic dermatology.

Melanoma detection remains the most successful and impressive application with various studies showing sensitivity and specificity similar to or in some cases surpassing human dermatologists.

AI methods have been found to be useful in the segmentation of psoriasis lesions and their risk stratification.

Other innovative uses include the application of Convolutional Neural Networks (CNNs) in automated acne vulgaris grading, diagnosis of onychomycosis, and in estimating the minimal phototoxic dose from skin color.

Recently the use of Neural Networks (NNs) has been extended beyond melanoma to other pigmented lesions and nonmelanoma skin cancers.

Dermatologists play a vital role in standardized data collection, curating machine learning data, clinically validating AI solutions, and embracing the transformative impact of AI across dermatology practices.

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