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Artificial intelligence in mobile applications of dermatology: A systematic mapping study

Abstract:

Skin diseases are considered the fourth most common cause of human disease and are more common than it is thought. With the advancement of technology, new concepts have been incorporated into the field of mobile health and, specifically, into dermatology. On the other hand, some factors make access to medical care difficult which is why the use of mobile applications for medical care and diagnosis is very common today, but are these applications suitable? In this study, a systematic literature mapping is carried out of mobile applications that use techniques of artificial intelligence for the diagnosis of skin diseases. Its focus is mainly on the level of sensitivity, specificity and overall accuracy of said diagnoses in comparison to the accuracy of a dermatologist. Several applications of care and diagnosis of skin diseases were found. However, only 9 studies describe the techniques that use these applications for the classification of the disease; several of them with high levels of precision, and mainly those that utilize artificial neural networks and vector-support machine algorithms. Despite the research conducted in this field, these techniques are still in development and are available only for a number of limited diseases. Thus, we believe it is necessary to direct the research towards the field of dermatology and contribute to the minimization of the gap between doctor and patient.