使用机器学习来增加对创伤后应激障碍创伤为中心的干预措施的访问和参与
Ariella P Lenton-Brym1, Alexis Collins1,2, Jeanine Lane2
1Nellie Health.
The British journal of clinical psychology
|May 8, 2024
概括
人工智能 (AI) 可以帮助克服治疗创伤后应激障碍 (PTSD) 的基于证据的心理治疗 (EBP) 的障碍. 人工智能可以提高治疗效率,预测结果,并提高患者在PTSD护理中的参与度.
科学领域:
- 心理健康 心理健康
- 精神病学是一个精神病学.
- 数字健康数字健康
背景情况:
- 创伤后应激障碍 (PTSD) 是一个重要的全球健康问题.
- 基于证据的心理治疗 (EBP) 是有效的,但面临着访问和参与障碍.
- 在社区环境中EBP的利用率很低,患者的治疗结果仍然不理想.
研究的目的:
- 审查进入和参与PTSDEBP的障碍.
- 讨论人工智能 (AI) 在PTSD治疗中的当前应用.
- 为未来的AI整合提供建议,以减少访问和参与障碍.
主要方法:
- 关于障碍 PTSD 心理治疗的文献审查.
- 对当前在心理健康领域的人工智能应用的审查.
- 综合发现,提出未来的AI整合策略.
主要成果:
- 确定了EBP获得和参与PTSD的主要障碍.
- 讨论了当前在PTSD治疗中的AI应用.
- 制定了人工智能整合的建议.
结论:
- 人工智能可以通过评估忠诚度,预测结果和改善患者参与度来增强PTSD治疗.
- 人工智能可能有助于患者遵守治疗任务和实践.
- 未来的技术进步有望通过人工智能改善PTSD护理.
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