A deep learning model for early prediction of Alzheimer's disease dementia based on hippocampal magnetic resonance imaging data

Abstract

It is challenging at baseline to predict when and which individuals who meet criteria for mild cognitive impairment (MCI) will ultimately progress to Alzheimer's disease (AD) dementia.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 11, 2019
Source ID
10.1016/j.jalz.2019.02.007

Entities

People

  • Alzheimer's Disease Neuroimaging Initiative And The Australian Imaging Biomarkers And Lifestyle Study Of Aging
  • David A. Wolk
  • Hongming Li
  • Mohamad Habes
  • Yong Fan

Organizations

  • Alzheimer's Disease Neuroimaging Initiative
  • National Institutes of Health
  • United States Department of Defense
  • University of Pennsylvania

Tags

Fields of Study

  • Psychology

Readers

  • Computational Modeling and Simulation
  • Traumatic Brain Injury (TBI) and Cognitive Aging in the Guam and Border Populations Affected by Alzheimer's Disease and Tau-Associated Dementias.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks