AD-RAI

1. AD-RAI predicts cognitive decline in humans after adjustments for age, gender, and education (AUC 0.72).

   “AD‐RAI out‐performed plasma NfL and all chronic brain change biomarkers, achieving an AUC of 0.72”

   Humansafter adjustments for age, gender, and education2 yearsn = 314

   Predicting Cognitive Decline Using Combined Plasma and Imaging Biomarkers: Evidence from a Singapore Memory Clinic Cohort

   AAIC 2025 abstract·Dec 24, 2025

1. AD-RAI predicts preclinical Alzheimer's disease in humans (preclinical AD (CU subjects)) (accuracy 85.90%, specificity 0.95, sensitivity 0.47).

   “Among CU subjects, AD-RAI yielded the best specificity (0.95) and accuracy (85.90%) over other measures”

   Humanspreclinical AD (CU subjects)n = 78

   MRI-based Alzheimer's disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer's disease

   Aging·May 25, 2021

More on Preclinical Alzheimer's disease

1. AD-RAI predicts Alzheimer's disease in humans (overall (MCI and CU)) (accuracy 85.94%, sensitivity 0.74, specificity 0.91).

   “AD-RAI achieved the best metrics among all subjects (sensitivity 0.74, specificity 0.91, accuracy 85.94%) and among MCI subjects (sensitivity 0.92, specificity 0.81, accuracy 86.00%) in detecting A+T+ subjects”

   Humansoverall (MCI and CU)n = 128

   MRI-based Alzheimer's disease-resemblance atrophy index in the detection of preclinical and prodromal Alzheimer's disease

   Aging·May 25, 2021

More on Alzheimer's disease