生物标志物 生物标志物
María Bárbara Eizaguirre1, Mario Parra2, Natalia Ciufia1
1Ramos Mejía Hospital, Buenos Aires, Buenos Aires, Argentina.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
概括
使用眼睛跟踪和人工智能的数字生物标志物ViewMind AtlasTM有效地检测出认知障碍 (CI),准确率为74%. 它的结果与传统测试相关,显示CI评估的临床有效性.
科学领域:
- 神经科学是一个神经科学.
- 眼科医生 眼科 眼科
- 人工智能的人工智能
背景情况:
- 认知障碍 (CI) 在神经退行性疾病和衰老中带来了挑战.
- 传统的认知评估是昂贵的,难以获得的,耗时的.
- ViewMind AtlasTM提供了一种新的,高效的数字生物标志物解决方案,使用眼睛跟踪和人工智能.
研究的目的:
- 评估ViewMind AtlasTM用于检测CI.评估ViewMind AtlasTM用于检测CI.
- 将ViewMind AtlasTM的结果与蒙特利尔认知评估 (MoCA) 和其他神经心理测试进行对比.
- 评估ViewMind AtlasTM的临床有效性.
主要方法:
- 一项对154名参与者 (年龄在45-95岁) 具有或没有认知投诉的横截面研究.
- 使用头戴显示器 (HMD) 和眼睛跟踪传感器的ViewMind AtlasTM进行认知评估.
- 在视觉任务中测量了冲击幅度,固定时间,再固定率和响应时间;与MoCA和神经心理学电池结果相比.
主要成果:
- 在IC检测中,ViewMind AtlasTM实现了78%的灵敏度,70%的特异性和74%的平衡精度.
- 在ViewMind指标和MoCA/神经心理测试得分之间发现了显著的相关性 (p < 0.05).
- 这些发现证实了该工具识别认知障碍的能力.
结论:
- 使用基于HMD的eye-tracking的ViewMind AtlasTM是CI检测的有效和高效工具.
- 该系统与传统评估的强烈相关性支持其临床和研究实用性.
- 这项技术在认知评估方面提供了有希望的进步.
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