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Artificial Intelligence in Chronic Pain Management

Artificial Intelligence in Chronic Pain Management
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Author(s): Antonios Archontis (University of West Attica, Athens, Greece)and Yiannis Koumpouros (Digital Innovation in Public Health Research Lab, University of West Attica, Athens, Greece)
Copyright: 2026
Pages: 48
Source title: Unveiling Technological Advancements and Interdisciplinary Solutions for Pain Care
Source Author(s)/Editor(s): Yiannis Koumpouros (Digital Innovation in Public Health Research Lab, University of West Attica, Greece)
DOI: 10.4018/979-8-3693-9501-1.ch002

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Abstract

Chronic pain affects over 20% of the global population, causing significant physical, psychological, and socioeconomic impacts. Conventional pain management methods often fail to address its complexity and variability. Artificial Intelligence (AI) presents a transformative opportunity by leveraging advanced algorithms to analyze diverse data, enhance diagnostic accuracy, enable objective pain assessment, and personalize treatment. AI technologies, such as machine learning, deep learning, and wearable devices, facilitate real-time monitoring, predictive modeling, and tailored interventions. Applications include facial expression analysis, biometric data evaluation, and digital patient support tools. Despite challenges like data inconsistency, ethical concerns, and technical limitations, advancements in data integration, explainable AI, and regulatory frameworks are set to enhance AI's role in chronic pain management, promoting more effective, equitable, and patient-centered care.

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