Document Type : Review Article

Authors

• Habib Zakeri ¹
• Mohammad Radmehr ¹
• Farnaz Khademi ¹
• Pegah Pedramfard ¹
• Leala Montazeri ¹
• Mahshid Ghanaatpisheh ²
• Behnam Rahnama ¹
• Parisa Mahdiyar ¹
• Saba Moalemi ¹
• Farnaz Hemati ¹
• Aliasghar Karimi ¹

¹ Research Center for Neuromodulation and Pain, NAB Pain Clinic, Shiraz University of Medical Sciences, Shiraz, Iran

² Medis Holding, Shiraz, Iran

Abstract

Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide. This condition involves persistent pain lasting more than three months, significantly impacting the quality of life and social interactions of patients. While the causes of chronic pain can often remain unknown, no definitive cure exists for the various known causes. Furthermore, the evaluation and prediction of pain can be challenging, particularly in unconscious patients receiving care in the intensive care unit. Subjective measures and traditional methods are typically employed for diagnosis, assessment, and treatment to identify the most effective approach. However, recent advancements in Artificial Intelligence (AI) and other computer science fields have revolutionized the medical domain, offering a novel and promising avenue for enhancing pain management. This review provides an overview of the potential benefits, limitations, and prospects associated with the role of AI in the diagnosis, assessment, and management of chronic pain.

Keywords

• Artificial Intelligence
• Machine Learning
• Artificial Neural Networks
• Deep Learning
• Pain Management
• Pain Assessment