ABSTRACT
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has been available for some time and found its application in many fields of medicine, its use in dermatology is comparatively new and limited. A sound understanding of the concepts of AI is essential for dermatologists as skin conditions with their abundant clinical and dermatoscopic data and images can potentially be the next big thing in the application of AI in medicine. There are already a number of artificial intelligence studies focusing on skin disorders, such as skin cancer, psoriasis, atopic dermatitis and onychomycosis. This article presents an overview of AI and new developments relevant to dermatology, examining both its current applications and future potential.
ABSTRACT
Vesiculobullous disorders in a child can be a diagnostic challenge. Common causes of blisters in early childhood include genodermatoses like epidermolysis bullosa and infections like herpes simplex. Lipoid proteinosis may rarely present with vesiculobullous lesions in childhood. We report a child, who presented in early childhood with blistering dermatosis. On long term follow-up, typical features of lipoid proteinosis developed. A high index of suspicion is required when one deals with blistering dermatosis in a child.
