雷-奥斯特里斯复杂图形测试的自动比人类评分:快速回顾
Sander Lindholm Andersen1, Astri J Lundervold2, Eivind Haga Ronold2,3,4
1Division of Psychiatry, Haukeland University Hospital, Bergen, Norway.
Frontiers in psychiatry
|January 30, 2026
概括
雷-奥斯特里斯复杂图形测试 (ROCFT) 的自动评分显示了与人类评分器可比的准确性和可靠性. 虽然人工智能具有潜力,但临床整合需要进一步的验证和伦理框架.
科学领域:
- 神经心理学 神经心理学
- 人工智能的人工智能
- 数字健康数字健康
背景情况:
- 临床神经心理学在采用自动化评估工具方面落后,尽管数字医疗保健取得了进展.
- 雷-奥斯特里斯复杂图形测试 (ROCFT) 的自动评分可以提高效率和一致性.
- 自动ROCFT评分的临床实用性和准确性需要与传统方法进行评估.
研究的目的:
- 评估ROCFT的数字自动评分系统是否提供与临床医生驱动的评分相等或更高的准确性,可靠性和临床实用性.
- 评估自动化ROCFT评分系统与人类评分器的性能.
主要方法:
- 根据PRISMA指南进行了快速审查.
- 在PubMed和Web of Science的搜索 (2015年1月1日~2025年10月12日) 发现了比较自动化与人类ROCFT评分的研究.
- 分析了五篇文章,包括深度学习和基于规则的算法.
主要成果:
- 五篇文章分析了超过41,000个ROCFT图纸.
- 精心设计的自动化系统实现了专家级别的性能,有时甚至超过了它.
- 深度学习模型与专家评分有很高的一致性,尽管性能与数据质量有所不同.
结论:
- 数字自动化ROCFT评分显示了与传统方法相比的准确性和可靠性,具有优越性能的潜力.
- 临床实施需要处理异质数据集,疾病特定规范和独立验证.
- 自动评分应该增强,而不是取代临床判断,需要人为循环系统和治理框架.
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