Purpose/Significance To analyze the application status of artificial intelligence (AI) technology in the screening of elderly cognitive impairment, and to discuss its potential and challenges in improving the accuracy and efficiency of early diagnosis. Method/Process By the method of literature review, the key technologies and application scenarios of AI in the field of elderly cognitive impairment screening are sorted out and summarized, and the advantages and limitations of current applications are analyzed. Result/Conclusion Existing studies have limitations such as dependence on data quality, poor algorithm interpretability, and inadequate adaptability in different medical environments. The paper proposes strategies such as increasing interdisciplinary cooperation, accumulating data related to cognitive impairment, iterating AI models, improving the quality of assessment, and promoting the popularization of emerging technologies in communities and medical institutions.