Golnar Ghane, Raoofeh Karimi, Amir Mohammad Chekeni, Mahdi Darvishi, Reza Imani, Fatemeh Zahra Vafaeinezhad
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Artificial intelligence and its algorithms offer potential solutions for pain relief in cancer patients with reduced side effects. <b>Study Design:</b> The current review aimed to assess the validity of studies on using artificial intelligence in pain management for cancer patients. Four databases have been used to review all published studies from the start of 2023: PubMed, Scopus, Web of Science, and Google Scholar. The search mechanism for articles was mainly using valid and mesh-based keywords, asking experts, and reviewing the literature and including \"Pain,\" \"Pain management,\" \"Cancer,\" and \"Artificial intelligence.\" During the initial search, a total of 450 articles were found, and after considering the inclusion and exclusion criteria and reviewing the abstract and content of the articles, 15 articles were finally included in the study. <b>Results:</b> AI-based solutions can provide individual pain relief plans. When AI analyzes large patient data such as physiological signals, responses to treatment, and symptoms of patients who have been diagnosed with pain, it is possible to accurately adjust therapeutic measures. <b>Conclusions:</b> AI enables healthcare providers to offer timely care and assistance to cancer patients through remote monitoring and telehealth services, even when they are not physically present. 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引用次数: 0
摘要
背景:疼痛是癌症患者经常不能有效治疗的一个重要症状,管理疼痛被视为护理这些患者的一个关键方面。这种剧烈的疼痛经常对他们的生活质量造成严重的影响。目前,在利用一系列药物和非药物治疗来管理癌症患者的疼痛方面存在不同的挑战。最近的技术进步,特别是人工智能,已经改善了癌症患者疼痛的管理。人工智能及其算法为减轻癌症患者的疼痛提供了潜在的解决方案,同时减少了副作用。研究设计:本综述旨在评估人工智能在癌症患者疼痛管理中的有效性。从2023年初开始,我们使用了四个数据库来审查所有已发表的研究:PubMed、Scopus、Web of Science和b谷歌Scholar。文章的搜索机制主要是使用有效的和基于网格的关键词,询问专家,并审查文献,包括“疼痛”,“疼痛管理”,“癌症”和“人工智能”。在最初的检索中,共发现450篇文章,在考虑纳入和排除标准,并对文章的摘要和内容进行审查后,最终纳入了15篇文章。结果:基于人工智能的解决方案可以提供个性化的疼痛缓解方案。如果人工智能分析被诊断为疼痛的患者的生理信号、治疗反应、症状等大量患者数据,就有可能准确调整治疗措施。结论:人工智能使医疗保健提供者能够通过远程监测和远程保健服务向癌症患者提供及时的护理和援助,即使他们不在现场。尽管存在诸如确保道德人工智能实践和保护数据隐私等障碍,但人工智能在肿瘤疼痛管理中的整合为未来带来了乐观。
Pain Management in Cancer Patients With Artificial Intelligence: Narrative Review.
Background: Pain is a significant symptom in cancer patients that is frequently not effectively treated, and managing it is seen as a crucial aspect of caring for these patients. This severe pain frequently causes a significant disturbance in their quality of life. At present, there are different challenges in utilizing a range of pharmacological and nonpharmacological treatments for managing pain in cancer patients. Recent technological advancements, particularly in artificial intelligence, have improved the management of pain in cancer patients. Artificial intelligence and its algorithms offer potential solutions for pain relief in cancer patients with reduced side effects. Study Design: The current review aimed to assess the validity of studies on using artificial intelligence in pain management for cancer patients. Four databases have been used to review all published studies from the start of 2023: PubMed, Scopus, Web of Science, and Google Scholar. The search mechanism for articles was mainly using valid and mesh-based keywords, asking experts, and reviewing the literature and including "Pain," "Pain management," "Cancer," and "Artificial intelligence." During the initial search, a total of 450 articles were found, and after considering the inclusion and exclusion criteria and reviewing the abstract and content of the articles, 15 articles were finally included in the study. Results: AI-based solutions can provide individual pain relief plans. When AI analyzes large patient data such as physiological signals, responses to treatment, and symptoms of patients who have been diagnosed with pain, it is possible to accurately adjust therapeutic measures. Conclusions: AI enables healthcare providers to offer timely care and assistance to cancer patients through remote monitoring and telehealth services, even when they are not physically present. Despite the presence of hurdles such as ensuring ethical AI practices and protecting data privacy, the integration of AI in oncology pain management brings optimism for the future.
期刊介绍:
Scientifica is a peer-reviewed, Open Access journal that publishes research articles, review articles, and clinical studies covering a wide range of subjects in the life sciences, environmental sciences, health sciences, and medicine. The journal is divided into the 65 subject areas.