Psoriasis, a chronic inflammatory skin disorder, presents significant diagnostic and management challenges due to its complex pathophysiology and clinical manifestations. Artificial intelligence (AI) has emerged as a potential solution to these challenges, offering early diagnosis and risk stratification through automated image analysis and predictive modeling, personalized treatment strategies through AI-driven phenotyping and treatment response prediction, and ongoing disease monitoring using wearable devices and advanced imaging techniques. Integrating AI into clinical workflows is crucial, focusing on data privacy, security, and explainability. Emerging trends in AI research highlight the potential for further advancements in dermatology. This chapter provides a comprehensive overview of AI techniques and technologies applicable to psoriasis, including machine learning algorithms, deep learning (DL) for image analysis, and natural language processing for research and clinical documentation.