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Objective <p>Early detection is critical for the effective management of Mild Cognitive Impairment (MCI) in the elderly. This study aimed to evaluate the feasibility and performance of the eye-tracking–based screening tool for early MCI detection.</p> Methods <p>A cross-sectional study was conducted involving individuals aged 60 years and older identified as high-risk for MCI at the Weihai Central Hospital, Weihai, China. Participants underwent the novel screening method, which incorporated an eye-tracking device during a brief digital cognitive task. The accuracy, sensitivity, and specificity of the eye-tracking method were calculated in comparison to the reference standard.</p> Results <p>A total of 162 participants were enrolled. The eye-tracking–based screening demonstrated an overall accuracy of 92.6%, with sensitivity of 92.4% and specificity of 93.0% in detecting MCI compared to the standard neuropsychological assessment.</p> Conclusion <p>The novel screening method proved effective for the early detection of MCI in high-risk older adults, offering high accuracy, sensitivity, and specificity. Its relative simplicity suggests significant potential for clinical implementation as a preliminary screening tool in community and primary care settings.</p>

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Early screening of mild cognitive impairment based on eye-tracking technology: a cross-sectional study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月27日

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  • Jingjing Wang,
  • Xia Zhan,
  • Yuhua Bi,
  • Caixia Chen,
  • Pengjiao Xu,
  • Libo Chen,
  • Dongxiao Jiang,
  • Cheng Che,
  • Qi Zhang

摘要

Objective

Early detection is critical for the effective management of Mild Cognitive Impairment (MCI) in the elderly. This study aimed to evaluate the feasibility and performance of the eye-tracking–based screening tool for early MCI detection.

Methods

A cross-sectional study was conducted involving individuals aged 60 years and older identified as high-risk for MCI at the Weihai Central Hospital, Weihai, China. Participants underwent the novel screening method, which incorporated an eye-tracking device during a brief digital cognitive task. The accuracy, sensitivity, and specificity of the eye-tracking method were calculated in comparison to the reference standard.

Results

A total of 162 participants were enrolled. The eye-tracking–based screening demonstrated an overall accuracy of 92.6%, with sensitivity of 92.4% and specificity of 93.0% in detecting MCI compared to the standard neuropsychological assessment.

Conclusion

The novel screening method proved effective for the early detection of MCI in high-risk older adults, offering high accuracy, sensitivity, and specificity. Its relative simplicity suggests significant potential for clinical implementation as a preliminary screening tool in community and primary care settings.