Research on interpretable machine learning models for diagnosis and staging of mild cognitive impairment.

Authors: He C, Zhou Y, Chen Y, Jing Y.

DOI: 10.3389/fneur.2025.1708525

Abstract Summary

Machine learning combining brain MRI radiomics, cognitive tests, and blood biomarkers achieved 87% accuracy in distinguishing healthy individuals from early and late stages of mild cognitive impairment—a precursor to Alzheimer’s. The multimodal approach significantly outperformed single-method models, with brain features from memory-critical regions proving most informative.

Why Brain? 🧠

Machine learning combining brain MRI, cognitive tests, and blood biomarkers accurately diagnoses and stages mild cognitive impairment with 87% accuracy, enabling earlier Alzheimer’s intervention.

License: CC BY.

The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.