用人工智能改变个性化慢性疼痛管理:对当前形势和未来方向的评论。

IF 4.6 2区 医学 Q1 NEUROSCIENCES Experimental Neurology Pub Date : 2024-09-29 DOI:10.1016/j.expneurol.2024.114980
Stefano Casarin , Nele A. Haelterman , Keren Machol
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引用次数: 0

摘要

人工智能(AI)可以指导制定符合患者个体需求的有效治疗策略,从而有可能彻底改变慢性疼痛的治疗方法。这种潜力来自于人工智能分析大型异构数据集以识别隐藏模式的能力。将人工智能应用于特定患者群体的临床数据集时,可用于识别患者的疼痛亚型、预测治疗反应并指导临床决策过程。然而,将人工智能融入临床实践需要克服各种挑战,如数据质量、人类疼痛生理学的复杂性以及针对不同患者群体的验证。临床医生、研究人员和人工智能专家之间需要开展有针对性的合作,以最大限度地发挥人工智能的能力,并推进当前对慢性疼痛病症的管理和治疗。
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Transforming personalized chronic pain management with artificial intelligence: A commentary on the current landscape and future directions
Artificial intelligence (AI) has the potential to revolutionize chronic pain management by guiding the development of effective treatment strategies that are tailored to individual patient needs. This potential comes from AI's ability to analyze large and heterogeneous datasets to identify hidden patterns. When applied to clinical datasets of a particular patient population, AI can be used to identify pain subtypes among patients, predict treatment responses, and guide the clinical decision-making process. However, integrating AI into the clinical practice requires overcoming challenges such as data quality, the complexity of human pain physiology, and validation against diverse patient populations. Targeted, collaborative efforts among clinicians, researchers, and AI specialists will be needed to maximize AI's capabilities and advance current management and treatment of chronic pain conditions.
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来源期刊
Experimental Neurology
Experimental Neurology 医学-神经科学
CiteScore
10.10
自引率
3.80%
发文量
258
审稿时长
42 days
期刊介绍: Experimental Neurology, a Journal of Neuroscience Research, publishes original research in neuroscience with a particular emphasis on novel findings in neural development, regeneration, plasticity and transplantation. The journal has focused on research concerning basic mechanisms underlying neurological disorders.
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