2 February 2024 | Jonathan M Hagedorn, Tony K George, Rohit Ayer, Keith Schmidt, John Halamka, Ryan S D'Souza
Artificial Intelligence (AI) has evolved significantly since its introduction 60 years ago and is now being increasingly applied in healthcare. This review explores the potential of AI in pain medicine, focusing on its applications in disease recognition, treatment optimization, cost reduction, and decision-making. AI, including machine learning (ML) and deep learning (DL), can analyze large datasets to identify patterns and predict outcomes, which can improve patient care. In pain medicine, AI can enhance diagnostic accuracy, personalize treatment plans, and optimize clinical workflows. Key applications include opioid monitoring, neuromodulation device optimization, and image analysis for pain procedures. AI also has the potential to improve decision-making by analyzing big data and supporting clinical research. However, challenges such as data privacy, ethical considerations, and ensuring equitable access to AI technologies must be addressed. The integration of AI into pain medicine requires education and preparedness among healthcare professionals to fully realize its benefits. This review highlights the importance of understanding AI concepts and their potential to transform pain management.Artificial Intelligence (AI) has evolved significantly since its introduction 60 years ago and is now being increasingly applied in healthcare. This review explores the potential of AI in pain medicine, focusing on its applications in disease recognition, treatment optimization, cost reduction, and decision-making. AI, including machine learning (ML) and deep learning (DL), can analyze large datasets to identify patterns and predict outcomes, which can improve patient care. In pain medicine, AI can enhance diagnostic accuracy, personalize treatment plans, and optimize clinical workflows. Key applications include opioid monitoring, neuromodulation device optimization, and image analysis for pain procedures. AI also has the potential to improve decision-making by analyzing big data and supporting clinical research. However, challenges such as data privacy, ethical considerations, and ensuring equitable access to AI technologies must be addressed. The integration of AI into pain medicine requires education and preparedness among healthcare professionals to fully realize its benefits. This review highlights the importance of understanding AI concepts and their potential to transform pain management.