使用人工智能对心理健康状况自我诊断的批判性审查
Supra Wimbarti1, B H Ralph Kairupan2, Trina Ekawati Tallei3,4
1Faculty of Psychology, Universitas Gadjah Mada, Yogyakarta, Indonesia.
International journal of mental health nursing
|February 12, 2024
概括
人工智能 (AI) 提供了可访问的心理健康自我评估工具,但通过AI自我诊断心理健康状况会带来重大风险. 专业指导对于准确的诊断和护理至关重要.
科学领域:
- 心理健康护理 心理健康护理
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 人工智能工具可以方便地在家进行心理健康评估.
- 人工智能驱动的心理健康自我诊断的趋势正在增加.
- 通过人工智能进行自我诊断存在潜在的风险和局限性.
研究的目的:
- 审查基于AI的心理健康自我诊断的风险.
- 突出AI自我诊断的限制和不利结果.
- 强调专业心理健康支持的重要性.
主要方法:
- 对人工智能在心理健康中的应用进行文献综述.
- 对道德,心理和社会影响的分析.
- 检查AI在诊断准确性的局限性.
主要成果:
- 人工智能自我诊断可能导致误解和延迟治疗.
- 伦理问题包括数据隐私和算法偏见.
- 心理影响可能涉及增加焦虑和自我耻辱感.
结论:
- 人工智能工具应该补充,而不是取代专业的心理健康护理.
- 心理健康专业人员 (心理学家,精神科医生,护士) 对于准确的诊断至关重要.
- 寻求专业指导至关重要,尤其是在人工智能驱动的自我评估方面.
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