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Updated: Jun 16, 2025

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远程精神病学和人工智能:对可访问精神病医疗护理新兴方法的结构化审查
Artem Bobkov1, Feier Cheng1, Jinpeng Xu1
1School of Health Management, Harbin Medical University, Harbin 150081, China.
Healthcare (Basel, Switzerland)
|June 13, 2025
概括
人工智能 (AI) 提供了通过远程精神病学诊断和治疗精神健康障碍的新方法. 然而,道德,技术和法律方面的挑战阻碍了这些人工智能工具的广泛临床采用.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 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 (AI) 越来越多地融入精神病学,为心理健康障碍提供创新的诊断,治疗和预测能力.
- 电脑精神病学利用人工智能来增强远程精神卫生保健服务.
- 本综述巩固和评估了人工智能在远程精神病学中的应用.
研究的目的:
- 审查目前在远程精神病学中的人工智能应用.
- 评估这些人工智能应用的技术成熟度,临床实用性和伦理法律方面.
- 确定人工智能在远程精神病学中整合的障碍和未来方向.
主要方法:
- 在PubMed,Scopus和谷歌学者 (2015-2025) 中进行了系统的文献搜索.
- 在研究选择和分析中遵循了PRISMA 2020指南.
- 综合包括44篇出版物,14篇经验研究详细介绍了神经网络和自然语言处理 (NLP) 等各种AI技术.
主要成果:
- 人工智能在远程精神病学中的应用包括自动诊断,治疗支持,预测建模和风险分层.
- 使用的关键人工智能技术包括自然语言处理,语音处理,多式联络分析和预测模型.
- 存在重大实施障碍,包括道德问题 (偏见,自主性),技术局限性 (可概括性,可解释性) 和法律问题 (问责制,监管).
结论:
- 人工智能技术的进步与它在远程精神病学中可扩展的临床整合的准备之间存在差距.
- 尽管取得了进展,但由于方法和系统障碍,人工智能在远程精神病学中的临床采用仍然有限.
- 未来的努力需要跨学科的合作,以解决差距,并制定AI在远程精神病学的实施标准.
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