Artificial intelligence (AI) can be defined as the branch of computer science dealing with the simulation of intelligent human behavior in computers. It is done by creating algorithms that can solve problems and are programmed for all the specificities of the problem.

Dermatology has taken the leading position for the implementation of AI in the medical field because of its large clinical, dermoscopical, and dermatopathological image database.

Artificial intelligence (AI) in DERMATOLOGY

The main applications of AI are in dermatology.  Dermatology is a field with a growing interplay of digitalization, tele-health, and informatics. Hence, AI can be used for dermatological applications as well.

The main principle behind this application is that dermoscopic or non-dermoscopic images of lesions can be broken down into individual pixels for analysis. These applications are typically validated by comparing their ability to correctly diagnose lesions with the ability of a certified dermatologist.

Although most of the research on AI is based on photorecognition algorithms, numerical values can also be applied.

In recent years, smartphone applications are available and easily accessible for diagnosis of melanoma.

Furthermore, Al can assist in histopathological diagnosis of malignancies. CNN is trained with a data set of histopathological and corresponding clinical images to generate diagnosis.

Dermatological conditions where AI has found a role are acne, psoriasis, lichen planus, pityriasis lichenoides, dermatomyositis, atopic dermatitis and seborrheic dermatitis etc.

AI as an educational tool

AI is as excellent educational resource for training dermatologists, researchers, students, and skin cancer specialists. After going through visually similar images, medical experts are able to gain deeper insights into their cases which help them to make a more accurate diagnosis.

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