人工智能在检测和管理抑郁障碍方面的有效性:系统审查
Yoonseo Park1, Sewon Park2, Munjae Lee2
1Department of Convergence Healthcare Medicine, Ajou University, Suwon, South Korea.
Journal of affective disorders
|June 18, 2024
概括
人工智能 (AI) 在管理抑郁症方面显示出显著的希望,在监测和预测准确度方面表现出色. 这项技术为心理健康治疗提供创新,个性化和可访问的数字医疗解决方案.
科学领域:
- 心理健康 心理健康
- 人工智能的人工智能
- 数字医疗保健数字医疗保健
背景情况:
- 抑郁症严重影响全球健康,需要创新的治疗方法.
- 传统的心理健康护理在可访问性和个性化方面面临挑战.
- 人工智能 (AI) 为彻底改变抑郁症管理带来了变革的潜力.
研究的目的:
- 系统地审查人工智能在预防,诊断和治疗抑郁症障碍方面的有效性.
- 在抑郁症管理中建立人工智能应用的证据基础.
- 确定最佳的人工智能技术和数据类型,用于抑郁症管理.
主要方法:
- 2017年1月1日至2022年5月31日期间发表的研究的系统文献综述.
- 在IEEE Xplore,PubMed和Web of Science上使用与抑郁症,AI和预测相关的关键词进行的搜索.
- 分析了95份文件,根据AI应用,数据类型和算法对它们进行分类.
主要成果:
- 人工智能在抑郁症监测和预测方面表现出高准确度.
- 生物标志物衍生数据和卷积神经网络 (CNN) 算法显示了最高的准确性.
- 人工智能通过分析监控数据来促进治疗,检测和疾病预测.
结论:
- 人工智能为抑郁症管理提供了显著的治疗效益.
- 由人工智能驱动的数字医疗服务提高了医疗的可访问性,并使个性化,非面对面的治疗成为可能.
- 进一步的研究应该考虑更广泛的人群和关于安全性和有效性的证据.
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