John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA.
Department of Anesthesiology, Perioperative and Pain Medicine, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, 02115, MA, USA.
Curr Pain Headache Rep. 2024 Aug;28(8):785-792. doi: 10.1007/s11916-024-01272-0. Epub 2024 May 29.
As artificial intelligence (AI) and machine learning (ML) are becoming more pervasive in medicine, understanding their ethical considerations for chronic pain and headache management is crucial for optimizing their safety.
We reviewed thirty-eight editorial and original research articles published between 2018 and 2023, focusing on the application of AI and ML to chronic pain or headache. The core medical principles of beneficence, non-maleficence, autonomy, and justice constituted the evaluation framework. The AI applications addressed topics such as pain intensity prediction, diagnostic aides, risk assessment for medication misuse, empowering patients to self-manage their conditions, and optimizing access to care. Virtually all AI applications aligned both positively and negatively with specific medical ethics principles. This review highlights the potential of AI to enhance patient outcomes and physicians' experiences in managing chronic pain and headache. We emphasize the importance of carefully considering the advantages, disadvantages, and unintended consequences of utilizing AI tools in chronic pain and headache, and propose the four core principles of medical ethics as an evaluation framework.
随着人工智能（AI）和机器学习（ML）在医学领域的应用越来越广泛，了解它们在慢性疼痛和头痛管理方面的伦理考虑因素对于优化其安全性至关重要。
我们回顾了 2018 年至 2023 年间发表的 38 篇社论和原始研究文章，重点关注 AI 和 ML 在慢性疼痛或头痛方面的应用。核心医疗原则包括善行、不伤害、自主性和正义，构成了评估框架。AI 应用涉及疼痛强度预测、诊断辅助、药物滥用风险评估、帮助患者自我管理病情以及优化医疗服务可及性等方面。几乎所有的 AI 应用都与特定的医学伦理原则有积极和消极的联系。本综述强调了 AI 在改善慢性疼痛和头痛患者结局以及医生治疗体验方面的潜力。我们强调了在慢性疼痛和头痛中使用 AI 工具时仔细考虑其优点、缺点和意外后果的重要性，并提出医学伦理的四项核心原则作为评估框架。
