Hong Kong Med J 2025;31(Suppl 7):S22-4
Magnetic resonance imaging–based machine learning to detect mild cognitive impairment associated with Alzheimer’s disease: abridged secondary publication
H Ko1, VCT Mok1, L Shi2, J Abrigo2, BYK Lam1, ATC Lee3
1 Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China
2 Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong SAR, China
3 Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong SAR, China
 
 
  1. Adult diffuse gliomas are heterogeneous groups of tumours.
  2. The Alzheimer’s Disease Resemblance Atrophy Index (AD-RAI) is effective for identifying amyloid-positive and tau-positive pathology in patients with mild cognitive impairment.
  3. The AD-RAI outperforms other conventional magnetic resonance imaging features (eg, hippocampus volume, hippocampus fraction, and medial temporal lobe atrophy score) in terms of accuracy, sensitivity, and specificity.
  4. The AD-RAI can serve as a screening tool for the early detection and management of Alzheimer’s disease.