Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients

Abstract

Christopher L Robinson,1,* Ryan S D’Souza,2,* Cyrus Yazdi,1 Efemena M Diejomaoh,3 Michael E Schatman,4,5,* Trent Emerick,6,* Vwaire Orhurhu7,8,* 1Department of Anesthesiology, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; 2Department of Anesthesiology and Perioperative Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA; 3Department of Psychiatry & Behavioral Science, Meharry Medical College, Nashville, TN, USA; 4Department of Anesthesiology, Perioperative Care, and Pain Medicine, NYU Grossman School of Medicine, New York, NY, USA; 5Department of Population Health-Division of Medical Ethics, NYU Grossman School of Medicine, New York, NY, USA; 6Department of Anesthesiology and Perioperative Medicine, Chronic Pain Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA; 7University of Pittsburgh Medical Center, Susquehanna, Williamsport, PA, USA; 8MVM Health, East Stroudsburg, PA, USA*These authors contributed equally to this workCorrespondence: Vwaire Orhurhu, MVM Health, East Stroudsburg, Williamsport, PA, USA, Email [email protected]: 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.Keywords: ethics, chatbots, machine learning, natural language processing, patient education

Keywords

• ethics
• chatbots
• machine learning
• natural language processing
• patient education