用人工智能转变个性化慢性疼痛管理:对当前景观和未来方向的评论
Stefano Casarin1, Nele A Haelterman2, Keren Machol3
1Center for Precision Surgery, Houston Methodist Research Institute, Houston, TX, USA; LaSIE, UMR 7356 CNRS, La Rochelle Université, La Rochelle, France; Department of Surgery, Houston Methodist Hospital, Houston, TX, USA.
Experimental neurology
|October 1, 2024
概括
人工智能 (AI) 可以通过分析患者数据来个性化治疗来改变慢性疼痛管理. 克服数据和生理挑战是实现AI在疼痛治疗中的全部潜力的关键.
科学领域:
- 医疗信息学 医疗信息学
- 疼痛医学 医学 疼痛医学
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 具有彻底改变慢性疼痛管理的潜力.
- 人工智能可以分析大型数据集,以识别个性化治疗策略的模式.
研究的目的:
- 探索AI在慢性疼痛管理中的潜力.
- 确定人工智能如何根据个体患者的需求量身定制治疗策略.
- 讨论人工智能整合所需的挑战和合作努力.
主要方法:
- 使用人工智能算法分析临床数据集.
- 在患者群体内识别疼痛亚型.
- 预测患者对不同治疗的反应.
主要成果:
- 人工智能可以在异构的患者数据中识别隐藏的模式.
- 人工智能通过预测治疗反应来促进个性化的疼痛管理.
- 人工智能有助于慢性疼痛的临床决策.
结论:
- 人工智能对促进慢性疼痛管理具有重大前景.
- 挑战包括数据质量,疼痛复杂性和在不同人群中验证.
- 临床医生,研究人员和人工智能专家之间的合作对于成功的整合至关重要.
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