疼痛医学人工智能的路线图:当前状态,机遇和要求
Meredith C B Adams1,2, James S Bowness3,4, Ariana M Nelson5
1Departments of Anesthesiology, Translational Neuroscience, and Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Current opinion in anaesthesiology
|April 24, 2025
概括
人工智能 (AI) 为疼痛药物挑战提供了新的解决方案. 本综述为在疼痛评估和管理中实施人工智能的框架提供了框架,并从其他医学领域汲取了经验.
科学领域:
- 疼痛医学 医学 疼痛医学
- 人工智能的人工智能
- 医疗技术 医疗技术 医学技术
背景情况:
- 人工智能 (AI) 为解决疼痛评估和管理方面的持续挑战提供了重要机会.
- 从相邻的医学领域建立的适应途径为AI在疼痛医学中的实施提供了洞察力.
研究的目的:
- 综合AI在疼痛医学中的当前应用.
- 为实施人工智能在疼痛管理方面提出战略框架.
- 突出从其他医学学科的适应途径.
主要方法:
- 审查当前的AI应用在疼痛医学.
- 对医疗保健中的AI现有文献的综合.
- 制定战略实施框架.
主要成果:
- 人工智能系统已被批准用于区域麻醉指导,并通过面部分析在自动化疼痛评分方面展现出前途.
- 机器学习算法提高了肌肉骨疾病的诊断准确性和治疗选择.
- 成功的AI整合需要跨学科的合作和医生领导.
结论:
- 为AI在疼痛医学中提出了一个四阶段的方法框架 (问题定义,算法开发,验证,实施).
- 未来的发展应该集中在术后疼痛预测,实时指导和个性化治疗上.
- 成功的采用需要强有力的伙伴关系,并注意道德,监管和教育因素.
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