El-Tallawy Salah N, Pergolizzi Joseph V, Vasiliu-Feltes Ingrid, Ahmed Rania S, LeQuang JoAnn K, El-Tallawy Hamdy N, Varrassi Giustino, Nagiub Mohamed S
Anesthesia and Pain Department, College of Medicine, King Khalid University Hospital, King Saud University, Riyadh, Saudi Arabia.
Anesthesia and Pain Department, Faculty of Medicine, Minia University & NCI, Cairo University, Giza, Egypt.
Pain Ther. 2024 Jun;13(3):293-317. doi: 10.1007/s40122-024-00584-8. Epub 2024 Mar 2.
Pain is a significant health issue, and pain assessment is essential for proper diagnosis, follow-up, and effective management of pain. The conventional methods of pain assessment often suffer from subjectivity and variability. The main issue is to understand better how people experience pain. In recent years, artificial intelligence (AI) has been playing a growing role in improving clinical diagnosis and decision-making. The application of AI offers promising opportunities to improve the accuracy and efficiency of pain assessment. This review article provides an overview of the current state of AI in pain assessment and explores its potential for improving accuracy, efficiency, and personalized care. By examining the existing literature, research gaps, and future directions, this article aims to guide further advancements in the field of pain management. An online database search was conducted via multiple websites to identify the relevant articles. The inclusion criteria were English articles published between January 2014 and January 2024). Articles that were available as full text clinical trials, observational studies, review articles, systemic reviews, and meta-analyses were included in this review. The exclusion criteria were articles that were not in the English language, not available as free full text, those involving pediatric patients, case reports, and editorials. A total of (47) articles were included in this review. In conclusion, the application of AI in pain management could present promising solutions for pain assessment. AI can potentially increase the accuracy, precision, and efficiency of objective pain assessment.
疼痛是一个重大的健康问题，疼痛评估对于疼痛的正确诊断、随访及有效管理至关重要。传统的疼痛评估方法往往存在主观性和变异性。主要问题在于更好地理解人们如何体验疼痛。近年来，人工智能（AI）在改善临床诊断和决策方面发挥着越来越重要的作用。AI的应用为提高疼痛评估的准确性和效率提供了广阔前景。这篇综述文章概述了AI在疼痛评估中的现状，并探讨了其在提高准确性、效率和个性化护理方面的潜力。通过审视现有文献、研究差距和未来方向，本文旨在指导疼痛管理领域的进一步发展。通过多个网站进行在线数据库搜索以识别相关文章。纳入标准为2014年1月至2024年1月期间发表的英文文章。可获取全文的临床试验、观察性研究、综述文章、系统评价和荟萃分析纳入本综述。排除标准为非英文文章、无法获取免费全文的文章、涉及儿科患者的文章、病例报告和社论。本综述共纳入47篇文章。总之，AI在疼痛管理中的应用可为疼痛评估提供有前景的解决方案。AI有可能提高客观疼痛评估的准确性、精确性和效率。
