Robinson Christopher L, D'Souza Ryan S, Yazdi Cyrus, Diejomaoh Efemena M, Schatman Michael E, Emerick Trent, Orhurhu Vwaire
Department of Anesthesiology, Critical Care, and Pain Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Department of Anesthesiology and Perioperative Medicine, Mayo Clinic Rochester, Rochester, Minnesota, USA.
J Pain Res. 2024 Mar 6;17:923-929. doi: 10.2147/JPR.S439452. eCollection 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.
人工智能（AI）融入患者疼痛医学教育有潜力彻底改变疼痛管理。通过利用人工智能的力量，患者教育变得更加个性化、互动性更强且更具支持性，使患者能够理解自身疼痛、做出明智决策并积极参与疼痛管理过程。人工智能根据个体患者的需求定制教育内容，提供个性化建议。它通过聊天机器人和虚拟助手引入互动元素，增强参与度和积极性。人工智能驱动的平台通过提供便捷的教育资源获取渠道并使内容适应不同患者群体，提高了可及性。疼痛管理领域未来的人工智能应用包括解释疼痛机制、治疗选择，根据个体患者特定因素预测结果，以及支持监测和依从性。尽管关于人工智能在疼痛医学及其应用的文献稀缺但在不断增加，我们提出了人工智能可能的应用途径，并综述了人工智能在疼痛管理教育中的潜在应用。此外，我们还讨论了伦理考量、患者赋权和可及性障碍。
