Emotionally Aware Artificial Intelligence in Chronic Pain Care

Abstract

Introduction and Definition: The integration of artificial intelligence (AI) into chronic pain management represents a rapidly evolving area of healthcare innovation. This entry reviews current applications of emotionally aware AI in chronic pain care, systems designed to recognize, interpret, and respond to human emotional cues, including clinical decision support tools, monitoring platforms, and therapeutic chatbots. Evidence suggests that AI can improve accessibility, symptom tracking, and treatment personalization, but implementation raises important concerns regarding patient-AI relationships, bias amplification, and system transparency. Historical precedents and emerging clinical trials highlight both the potential and the limitations of emotionally responsive AI in healthcare settings. Successful deployment depends on careful system design, clinical validation, and integration with human-led care frameworks.

Body: This encyclopedia entry examines the current landscape of emotionally aware AI in chronic pain management, analyzing both specialized applications and broader deployment considerations. The review explores the clinical evidence base across four domains: clinical applications, patient experience, ethical and bias considerations, and implementation frameworks. The analysis emphasizes the importance of distinguishing between purpose-built healthcare AI and general-purpose systems, and underscores the need for thoughtful, patient-centred implementation strategies that prioritize human oversight and equitable outcomes.