基于人工智能的儿童心理健康手机应用:全面审查和内容分析
Fan Yang1, Jianan Wei2, Xuejun Zhao3
1School of Social Work, University of Illinois Urbana Champaign, Urbana, IL, United States.
JMIR mHealth and uHealth
|June 6, 2025
概括
儿童人工智能 (AI) 心理健康应用程序有希望,但需要更好的设计和可负担性. 大多数应用程序缺乏儿童友好的功能和严格的临床测试,限制了它们的有效性和可访问性.
科学领域:
- 数字健康数字健康
- 儿童和青少年精神病学 儿童和青少年精神病学
- 医疗保健中的人工智能
背景情况:
- 人工智能 (AI) 驱动的移动应用程序越来越多地用于解决儿童的心理健康问题.
- 这些数字工具为儿童精神卫生保健提供了新的干预和支持途径.
研究的目的:
- 进行针对儿童心理健康的AI驱动移动应用程序的全面审查.
- 审查的重点是应用程序的可用性,质量,可读性,特性和功能类别.
主要方法:
- 对儿童心理健康的基于人工智能的移动应用程序进行系统分析.
- 应用程序质量使用移动应用程序评分表 (MARS) 进行评估.
- 使用自动索引计算器评估可读性;内容分析检查应用程序特性和功能.
主要成果:
- 在369个已识别的应用程序中,包括27个. 平均MARS评分为3.45/5,表明需要提高质量.
- 可读性得分低于最佳 (应用程序中的平均分数为6.62,应用商店中的平均分数为9.93),接口单调.
- 应用程序被分类为聊天机器人 (15),日志记录 (9),或心理治疗 (3). 74%的人使用了经过验证的技术,但只有2人接受了临床试验. 74%需要付款 (平均每月20.16美元).
结论:
- 儿童人工智能心理健康应用程序具有巨大的潜力,但在设计,可访问性和验证方面存在局限性.
- 未来的开发必须优先考虑以儿童为中心的设计,负担能力和严格的临床测试.
- 这些改进对于在儿童心理健康方面提供公平有效的AI驱动解决方案至关重要.
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