人工智能用于的决策支持
Itai Loushy1, Michael R Sperling1
1Department of Neurology, Jefferson Comprehensive Epilepsy Center, Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Epilepsia
|November 21, 2025
概括
人工智能 (AI) 通过提高诊断准确性和治疗效率,为治疗提供了显著的潜力. 负责任的采用需要解决伦理问题,并在现实世界的临床环境中验证AI工具.
科学领域:
- 神经学 神经学
- 医疗信息学 医疗信息学
- 人工智能的人工智能
背景情况:
- 由于不确定性和可变性,的诊断和治疗存在挑战.
- 人工智能 (AI) 正在成为解决这些复杂问题的工具.
- 目前的应用范围包括诊断,治疗预测和工作流程优化.
研究的目的:
- 审查人工智能在管理中的当前和潜在应用.
- 突出AI在提高效率和诊断准确性的机会.
- 讨论负责的人工智能采用的挑战和伦理考虑.
主要方法:
- 在的关键领域对人工智能应用的审查:病史记录,电子记录,EEG,MRI和多式联络数据.
- 检查AI在预测发作复发,药物耐药性和手术候选症方面的作用.
- 对治疗和人工智能集成的结果测量方面的挑战分析.
主要成果:
- 人工智能可以通过任务自动化提高效率,提高诊断准确度.
- 人工智能在预测治疗反应和手术结果方面具有潜力.
- 包括偏见,透明度和隐私在内的伦理考虑对于AI实施至关重要.
结论:
- 人工智能显示出作为一个决策支持工具来增强的临床判断的承诺.
- 在不同的现实环境中验证和临床医生伙伴关系对于负责任的AI采用至关重要.
- 解决道德问题对于成功将人工智能整合到治疗中至关重要.
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