Massey Christopher, Latif Usman, Deer Timothy R, Kalia Hemant, Guirguis Maged, Bicket Mark C, Khatri Nasir, Tolba Reda, Chakravarthy Krishnan, Budwany Ryan, Lee David W, Patel Ankur A, Moreira Alexandra M, Jimenez Daniel A, Patel Raj G, Cowan Iden, Christiansen Sandy, Wilson Derron, Chapman Kenneth B, Vu Chau, Manzi Suzanne, Nashi Sara, Waheed Muhammad, Shah Anuj, Nasseri Morad, Buchanan Patrick, Azeem Nomen, Petersen Erika A, Schatman Michael E, Abd-Elsayed Alaa, Sayed Dawood, Diwan Sudhir
Pain Specialists of America, Austin, TX, USA.
Department of Anesthesiology and Interventional Pain, The University of Kansas Health System, Kansas City, KS, USA.
J Pain Res. 2025 Aug 20;18:4211-4235. doi: 10.2147/JPR.S529465. eCollection 2025.
Artificial intelligence (AI) is rapidly evolving and becoming more ubiquitous. Significant advancements have been made in the last few years, driving rapidly increasing adoption. The scale of publications on AI makes it difficult to keep abreast of relevant findings.
The ASPN Artificial Intelligence Guidelines are designed to help clinicians understand AI and implement it into their practice. This Neuron Project is designed to evolve with the changing landscape of AI.
An expert panel was chosen to discuss and write the best practice guidelines on AI. The primary authors conducted a literature search on PubMed, cross-referencing key terms in pain management and AI. After a thorough review of the current literature, the information collected was divided into broad categories of potential benefits, potential harms, and ways to ensure the benefits outweigh the potential harms of AI. These guidelines include only the most essential aspects of AI that clinicians need to know and understand before implementing AI into their practice.
Over 12,000 articles were found using the above search results. Many articles were reviews and clinical guidelines. The framework created from these guidelines allowed authors to fill in knowledge gaps and discuss the most critical elements pain clinicians should comprehend about AI.
All authors achieved consensus on guidelines for implementing and using AI in pain management following a process of critical review and edits by the entire group of authors. All authors approved final guidelines.
The field of artificial intelligence is rapidly growing. As it expands into healthcare, it is necessary to prevent breaches of sensitive data and potential harm to patients. Guidelines that constantly evolve and grow with expanding indications for AI are essential to maximize benefit and prevent harm. This paper is part of ASPN's Neuron Project and is designed to update continuously as this field evolves.
人工智能（AI）正在迅速发展并变得越来越普遍。在过去几年中取得了重大进展，推动了其应用的迅速增加。关于AI的出版物数量众多，使得难以跟上相关研究结果。
ASPN人工智能指南旨在帮助临床医生理解AI并将其应用于临床实践。这个神经元项目旨在随着AI不断变化的形势而发展。
挑选了一个专家小组来讨论并撰写关于AI的最佳实践指南。主要作者在PubMed上进行了文献检索，交叉引用了疼痛管理和AI的关键词。在对当前文献进行全面审查后，收集到的信息被分为潜在益处、潜在危害以及确保AI的益处超过潜在危害的方法等广泛类别。这些指南仅包括临床医生在将AI应用于实践之前需要了解和理解的AI最基本方面。
使用上述检索结果共找到12000多篇文章。许多文章是综述和临床指南。从这些指南创建的框架使作者能够填补知识空白，并讨论疼痛临床医生应该理解的关于AI的最关键要素。
在经过全体作者的严格审查和编辑过程后，所有作者就疼痛管理中实施和使用AI的指南达成了共识。所有作者都批准了最终指南。
人工智能领域正在迅速发展。随着它扩展到医疗保健领域，有必要防止敏感数据泄露以及对患者造成潜在伤害。随着AI适用范围的扩大而不断发展的指南对于最大化益处和预防危害至关重要。本文是ASPN神经元项目的一部分，旨在随着该领域的发展不断更新。
