Artificial Intelligence Bringing Newer Paradigms in the Diagnosis, Treatment, and Management of Psoriasis

Purpose of Review As we know, psoriasis is the most prevalent chronic inflammatory skin condition due to aberrant immune response which is characterized by clearly demarcated red or pink thick raised skin plaques sometimes covered with dry thin silvery white scales, formed due to the cytokine-driven hyperproliferation of epidermal keratinocytes. The abnormal functioning of immune-inflammatory pathways can cause various systemic conditions including cardiovascular diseases, chronic renal disease, and metabolic syndrome. Recent Findings In comparison to other dermatological conditions, psoriasis has greater impact on the mental health of patients leading to increased risk of psychiatric comorbidities such as depression and anxiety. The Articial intellingence could automate the analysis and provide contextual relevance, enhance clinical reliability, assist the clinicians in communicating objectively, minimize human fatigue related errors, decrease mortality rates, save medical expenditures and help in easy and early diagnosis of diseases including psoriasis. Summary Therefore, development of better approaches for the diagnosis of psoriasis and determination of its classification type and severity are necessary for disease control and management and are the need of the hour. The artificial intelligence (AI) applications in medicine and healthcare are recently emerging due to advanced computing technologies and availability of abundant data on a variety of diseases including psoriasis. Hence, AI will certainly be a boon for the early detection and management of psoriasis patients necessitating further research in this area.

Automated summary

Psoriasis is a prevalent chronic inflammatory skin condition caused by abnormal immune response. It not only affects the mental health of patients, but also leads to various systemic diseases. Artificial intelligence can play an important role in the early detection and management of psoriasis.