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Alzheimer’s disease (AD) presents a substantial contest, requiring primary diagnosis and precise staging of cognitive impairment for effective management. AD is a broad-minded neurodegenerative illness categorized by reminiscence injury, cognitive decline, and changes in behavior, ultimately affecting regular functioning and quality of life. This study introduces a DL approach using magnetic resonance imaging (MRI) to classify stages of cognitive impairment associated with AD. Here assessed various DL models, including Xception, Inception, Mobile Net, VGG16, ResNet, and DenseNet, with Xception achieving the highest accuracy of 99.1%. Our approach demonstrates improved classification accuracy and early detection rates, validated through rigorous testing. This method provides a valuable tool for clinicians, potentially enhancing patient outcomes and supporting personalized treatment strategies in Alzheimer’s care.

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Unveiling Alzheimer’s Progression: AI-Driven Models for Classifying Stages of Cognitive Impairment Through Medical Imaging

  • 会议论文

  • 发表日期：

    2025年

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  • Vaibhav C. Gandhi,
  • Dhruvi Thakkar,
  • Mariofanna Milanova

摘要

Alzheimer’s disease (AD) presents a substantial contest, requiring primary diagnosis and precise staging of cognitive impairment for effective management. AD is a broad-minded neurodegenerative illness categorized by reminiscence injury, cognitive decline, and changes in behavior, ultimately affecting regular functioning and quality of life. This study introduces a DL approach using magnetic resonance imaging (MRI) to classify stages of cognitive impairment associated with AD. Here assessed various DL models, including Xception, Inception, Mobile Net, VGG16, ResNet, and DenseNet, with Xception achieving the highest accuracy of 99.1%. Our approach demonstrates improved classification accuracy and early detection rates, validated through rigorous testing. This method provides a valuable tool for clinicians, potentially enhancing patient outcomes and supporting personalized treatment strategies in Alzheimer’s care.