Clinical Applications of AI in Pain Medicine

This chapter focuses on the real-world implementation of AI in various clinical settings, in the context of pain management. Case studies and results from research investigations are presented to demonstrate that, in pain medicine, AI can be successfully integrated into healthcare systems for patient diagnosis (i.e., computer-aid diagnosis), pain tracking, and decision-making processes. Examples of predictive models for disease progression are presented. Notably, AI techniques can be implemented for diagnosis and management of opioid use disorders. This chapter also examines the ethical and regulatory challenges of adopting AI in clinical practice, addressing concerns such as data privacy, algorithmic bias, and the need for human oversight in AI-supported care. Finally, future trends in AI, such as the use of telemedicine, wearable devices, and digital health platforms in pain management, are also explored.