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BACKGROUND Dermatology has been proven to be well suited for store-and-forward telemedicine triaging. With the reduced cost of computer power and readily available deep convolutional neural networks, using the digital images collected with store-and-forward, machine learning has made it possible to create artificial intelligence (AI) models. The AI models can analyze new digital images taken with a smartphone camera and return reliable dermatology outputs within seconds. OBJECTIVE The aim ofdoi:10.2196/preprints.36907 fatcat:x6tdmn2jpjd2pou7kut3cen5gi