抑郁症诊断中的人工智能:对方法和临床应用的系统审查
Mahdi Ghorbankhani1, Maryam Safara1
1Department of Psychology, Women Research Center, Alzahra University, Tehran, Iran.
Artificial intelligence in medicine
|December 3, 2025
概括
人工智能 (AI) 显示了早期抑郁症检测和分类使用各种数据类型的前景. 人工智能在心理健康领域的偏见,透明度和临床整合仍然存在挑战.
科学领域:
- 心理健康诊断 心理健康诊断
- 医疗保健中的人工智能
- 计算精神病学是一种计算精神病学.
背景情况:
- 人工智能对心理健康诊断越来越感兴趣,特别是在抑郁症方面.
- 需要对人工智能方法和用于抑郁症检测的数据模式进行全面审查.
研究的目的:
- 审查目前用于抑郁症诊断的AI驱动方法.
- 评估AI在抑郁症检测中的方法,数据源和性能指标.
- 确定人工智能在心理健康方面的挑战和未来方向.
主要方法:
- 对最近的经验研究进行了全面的文献综述.
- 专注于机器学习和深度学习技术.
- 分析来自不同来源 (社交媒体,语音,可穿戴设备) 的语言,行为和生理数据.
主要成果:
- 人工智能系统,特别是具有多式联络数据和先进的神经网络的系统,显示出对抑郁症的诊断准确度有希望.
- 人工智能有可能增强传统的精神病学评估.
- 发现了重大挑战:数据集偏差,算法透明度和临床适用性.
结论:
- 人工智能为心理健康诊断提供了变革性的潜力,特别是在抑郁症检测方面.
- 未来的研究应该专注于提高模型的通用性,可解释性和道德部署.
- 为开发强大,透明和临床集成的抑郁症人工智能系统提供了路线图.
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