用人工智能重新想象心理健康:早期检测,个性化护理和预防生态系统
Niloofar Mikaeili1, Mahdi Naeim1, Mohammad Narimani1
1Department of Psychology, Faculty of Educational Sciences and Psychology, University of Mohaghegh Ardabili, Ardabil, Iran.
Journal of multidisciplinary healthcare
|November 13, 2025
概括
人工智能 (AI) 通过分析多式联络数据,在早期发现精神障碍和个性化治疗方面表现有前途. 然而,伦理标准和强有力的验证对于其临床整合至关重要.
科学领域:
- 心理健康技术 心理健康技术
- 计算精神病学是一种计算精神病学.
- 数字健康数字健康
背景情况:
- 精神疾病患病率不断上升,需要创新的解决方案.
- 对心理健康服务的有限访问强调了需要可扩展的干预措施.
- 人工智能 (AI) 通过数据分析为改善心理健康管理提供了潜力.
研究的目的:
- 探索新兴的人工智能在心理健康中的应用.
- 研究AI在早期检测,个性化治疗和症状预防方面的作用.
- 识别人工智能在心理健康护理方面的挑战和创新.
主要方法:
- 进行了2015-2025年文学叙事审查.
- 在PubMed,Scopus和IEEE Xplore数据库中进行了搜索.
- 包括自然语言处理,深度学习和多模式数据分析 (语音,文本,生物传感器) 的研究.
主要成果:
- 人工智能可以通过"心理数字签名"来增强早期检测,一些研究报告高精度 (高达~91%).
- 高精度的发现往往来自有限的数据集,需要谨慎的解释和外部验证.
- 人工智能促进了以患者为中心的预防性心理健康护理框架.
结论:
- 人工智能集成需要强有力的伦理标准,重点关注隐私,公平和透明度.
- 有效的临床实施取决于解决伦理考虑和数字基础设施.
- 人工智能为重新想象精神卫生保健服务提供提供了一种变革性的方法.
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