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Reviewing the Potential Role of Artificial Intelligence in Delivering Personalized and Interactive Pain Medicine Education for Chronic Pain Patients.

作者信息

Robinson Christopher L, D'Souza Ryan S, Yazdi Cyrus, Diejomaoh Efemena M, Schatman Michael E, Emerick Trent, Orhurhu Vwaire

机构信息

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.

出版信息

J Pain Res. 2024 Mar 6;17:923-929. doi: 10.2147/JPR.S439452. eCollection 2024.


DOI:10.2147/JPR.S439452
PMID:38464902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10924768/
Abstract

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.

摘要

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本文引用的文献

[1]
Health Disinformation Use Case Highlighting the Urgent Need for Artificial Intelligence Vigilance: Weapons of Mass Disinformation.

JAMA Intern Med. 2024-1-1

[2]
Using artificial intelligence to identify patients with migraine and associated symptoms and conditions within electronic health records.

BMC Med Inform Decis Mak. 2023-7-14

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Curr Allergy Asthma Rep. 2023-9

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Brain Struct Funct. 2023-7

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[9]
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J Clin Med. 2022-11-21

[10]
Artificial intelligence and machine learning in pain research: a data scientometric analysis.

Pain Rep. 2022-11-3

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