Artificial Intelligence-Assisted Hippocampal Segmentation and Its Diagnostic Value for Alzheimer's Disease: A Meta-analysis.

Journal: Academic radiology
Published Date: May 7, 2025

Abstract

BACKGROUND: Hippocampal atrophy is a key marker of Alzheimer's disease (AD) and mild cognitive impairment (MCI). Diverse artificial intelligence (AI) architectures for automated hippocampal segmentation have been increasingly reported in neuroimaging research. Different hippocampal automated segmentation methods can be of added value for the AD diagnostic work-up and treatment planning. This study aims to conduct a thorough meta-analysis to evaluate the segmentation accuracy and diagnostic performance of AI-assisted hippocampal segmentation in AD and MCI.

Authors

  • Qi Wu
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Changhui Huang
    Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., C.H., J.Z., Z.Z., X.Z.); Life Science and clinical Medicine Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (C.H., X.Z.).
  • Jupeng Zhang
    Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., C.H., J.Z., Z.Z., X.Z.); School of Laboratory Medicine, Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., J.Z., Z.Z.).
  • Zhihao Zhang
    Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., C.H., J.Z., Z.Z., X.Z.); School of Laboratory Medicine, Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., J.Z., Z.Z.).
  • Xiqi Zhu
    Department of Radiology, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (Q.W., C.H., J.Z., Z.Z., X.Z.); Life Science and clinical Medicine Research Center, Affiliated Hospital of Youjiang Medical University for Nationalities, 533000, Baise, China (C.H., X.Z.). Electronic address: xiqi.zhu@163.com.

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