Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients.
Christopher L RobinsonRyan Steven D'SouzaCyrus YazdiEfemena M DiejomaohMichael E SchatmanTrent D EmerickVwaire OrhurhuPublished in: Journal of pain research (2024)
The integration of artificial intelligence (AI) in patient pain medicine education has the potential to revolutionize pain management. By harnessing the power of AI, patient education becomes more personalized, interactive, and supportive, empowering patients to understand their pain, make informed decisions, and actively participate in their pain management journey. AI tailors the educational content to individual patients' needs, providing personalized recommendations. It introduces interactive elements through chatbots and virtual assistants, enhancing engagement and motivation. AI-powered platforms improve accessibility by providing easy access to educational resources and adapting content to diverse patient populations. Future AI applications in pain management include explaining pain mechanisms, treatment options, predicting outcomes based on individualized patient-specific factors, and supporting monitoring and adherence. Though the literature on AI in pain medicine and its applications are scarce yet growing, we propose avenues where AI may be applied and review the potential applications of AI in pain management education. Additionally, we address ethical considerations, patient empowerment, and accessibility barriers.
Keyphrases
- pain management
- artificial intelligence
- chronic pain
- big data
- machine learning
- end stage renal disease
- deep learning
- healthcare
- newly diagnosed
- ejection fraction
- chronic kidney disease
- systematic review
- peritoneal dialysis
- case report
- prognostic factors
- social media
- quality improvement
- skeletal muscle
- type diabetes
- adipose tissue
- patient reported outcomes
- glycemic control
- weight loss