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通过人工智能生成的案例配方,对青少年游戏障碍的认知行为和精神动态镜头:定性分析
1Department of Child and Adolescent Mental Health and Disease, Kırşehir Ahi Evran University Faculty of Medicine, Bağbaşı Mahallesi, Şehir Necdet Yağız Caddesi,, Kırşehir, Turkiye, Turkey. sarper.icen@ahievran.edu.tr.
The Psychiatric quarterly
|October 28, 2025
概括
人工智能 (AI) 可以使用认知行为和精神动力学框架来生成青少年游戏障碍的理论知情病例表述. 这些人工智能产生的见解突出了关键主题,但需要道德监督和与真实患者数据的验证.
科学领域:
- 心理学 心理学 心理学
- 人工智能的人工智能
- 临床心理健康 临床心理健康
背景情况:
- 案例制定 (CF) 对于个性化心理健康护理至关重要.
- 人工智能 (AI) 在模拟基于理论的CF过程中的应用在很大程度上尚未被探索.
- 青少年游戏障碍带来了复杂的挑战,需要细微的理论理解.
研究的目的:
- 探索ChatGPT-4.0如何生成青少年游戏障碍病例表述.
- 检查AI模拟CF认知行为和精神动力学框架的能力.
- 确定AI产生的潜在的临床主题和亚型,用于游戏障碍.
主要方法:
- 使用了8个关于青少年游戏障碍的标准化虚构片段.
- 提示请求来自ChatGPT-4.0 (认知行为和精神动力学) 的框架特定配方.
- 用结构化框架和反射编码的专题分析分析了输出.
主要成果:
- 认知行为表述确定了诸如模式,扭曲和游戏的功能等主题,产生了三个子类型.
- 精神动力学公式强调冲突,防御机制和关系模板,产生四个子类型.
- 跨框架的融合主题包括低自我价值,逃避,家庭功能障碍和通过游戏进行情绪调节.
结论:
- 大型语言模型可以对模拟案例的基于框架的案例表述进行近似.
- 人工智能工具可以支持临床思维和教育,并有道德监督.
- 需要进一步的研究来比较AI和临床医生生成的配方与真实患者数据的有效性.
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