BACKGROUND
Artificial Intelligence (AI) is an emerging tool with many applications in numerous medical fields, including dermatology.
OBJECTIVE
Our objective is to provide an up-to-date literature review on the use of AI in psoriatic disease, including diagnostics and clinical management.
METHODS
Literature review
RESULTS
Although the majority of AI studies in dermatology focus on skin cancer, there is growing interest and applicability of AI models in inflammatory diseases, such as psoriasis. Psoriatic disease is a chronic, inflammatory, immune-mediated systemic condition with multiple comorbidities and a significant impact on patients’ quality of life. Advanced treatments, including biologics and small molecules, have transformed the management landscape of psoriatic disease. Nevertheless, there are still huge unmet needs. Globally, delay in the diagnosis of the disease and its severity is common due to poor access to healthcare systems. Moreover, despite the abundance of treatments, we are unable to predict which is the right medication for the right patient.
CONCLUSIONS
Dermatologists can play a crucial role in the evolIn the future, AI and Machine Learning may be able to predict the clinical course of the disease and , in combination with molecular studies, may even be able to guide our choice of treatment.