创伤后应激障碍治疗中的生成人工智能:探索五种不同的用例
Philip Held1, Elizabeth C Stade2, Katherine Dondanville3
1Department of Psychiatry and Behavioral Sciences, Rush University Medical Center, Chicago, Illinois, USA.
Journal of traumatic stress
|July 30, 2025
概括
生成型人工智能 (AI) 提供了通过人工智能辅助工具改善获得创伤后应激障碍 (PTSD) 治疗的新方法. 然而,伦理考虑和临床监督对于在PTSD护理中安全有效地整合AI至关重要.
科学领域:
- 临床心理学 临床心理学
- 医疗保健中的人工智能
- 心理健康技术 心理健康技术
背景情况:
- 创伤后应激障碍 (PTSD) 是一种广泛和残疾的心理健康状况.
- 显著的障碍限制了患者获得基于证据的PTSD治疗的机会.
- 生成型人工智能 (AI),包括大型语言模型 (LLM),为提高心理健康护理的可访问性和质量提供了机会.
研究的目的:
- 探索临床AI工具用于创伤后应激障碍 (PTSD) 治疗的新兴使用案例.
- 突出AI在改善基于证据的PTSD干预措施的获取和一致性方面的潜力.
- 确定与在PTSD护理中实施AI相关的伦理和安全挑战.
主要方法:
- 对5个新出现的临床AI使用案例进行PTSD治疗的审查.
- 对临床医生的AI辅助培训工具进行讨论.
- 检查人工智能驱动的自动化忠实度评级系统的治疗坚持.
- 对患者护理的AI辅助治疗工具的分析.
- 在专业研讨会上提出的伦理和安全影响的考虑.
主要成果:
- 在PTSD治疗中确定了人工智能的五个不同的用例,包括培训,忠诚度评估和直接治疗.
- 人工智能工具在扩大基于证据的PTSD干预措施的覆盖范围和标准化方面表现有前途.
- 提出了重要的伦理和安全问题,如潜在的偏见,隐私风险和临床监督的必要性.
结论:
- 基于人工智能的创新具有很大的潜力,可以提高PTSD治疗的可访问性和有效性.
- 解决道德挑战,包括偏见和隐私,对于负责任的AI部署至关重要.
- 临床医生,研究人员和开发人员之间的多学科合作对于以患者为中心,道德和有效的AI工具在PTSD护理中至关重要.
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