PS65 Artificial intelligence-assisted monitoring of psychodermatology symptoms: a narrative review

Abstract

Psychodermatology addresses the interplay between skin conditions and psychological wellbeing. Disorders such as excoriation, trichotillomania and stress-exacerbated psoriasis pose challenges in monitoring and management due to fluctuating symptoms and subjective reporting. Emerging artificial intelligence (AI) technologies offer the potential to objectively track skin-related behaviours and flares, providing clinicians with actionable data and patients with tools to better manage their conditions. The aim of this study was to review the current literature on AI-assisted monitoring in psychodermatology, assessing feasibility, clinical utility and potential impact on patient outcomes. A narrative review of studies published between 2018 and 2025 was conducted using PubMed, PsycINFO and Google Scholar. Studies evaluating AI applications for symptom tracking, behavioural monitoring and disease flare prediction in psychodermatology populations were included. Outcomes assessed included accuracy, usability, patient adherence and impact on clinical management. AI-assisted monitoring demonstrated promise in objectively quantifying behaviours such as skin picking and hair pulling, and in detecting flare patterns in chronic dermatological conditions. Early studies indicate high patient engagement and improved self-awareness, which may facilitate timely intervention. Limitations include small cohorts, variability in algorithms, privacy concerns and the need for integration with clinical workflows. Real-world validation remains limited but ongoing trials are promising. AI-assisted monitoring represents a novel, scalable tool for enhancing psychodermatology care. By providing objective symptom tracking and personalized feedback, these technologies may improve disease management and patient wellbeing. Further research is required to establish efficacy, ensure data privacy and integrate AI tools into routine clinical practice.