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AI Predicts Alzheimer’s with 93% Accuracy from MRI Scans

3/19/2026

Summary

Story summary

A study in Neuroscience shows a machine-learning model predicts Alzheimer’s disease from magnetic resonance imaging (MRI) scans with nearly 93% accuracy.
Researchers from Worcester Polytechnic Institute examined 815 MRI scans from participants aged 69 to 84 and found brain volume loss in the hippocampus, amygdala, and entorhinal cortex.
Dr. Dung Trinh notes the right hippocampus shows early tissue loss and may serve as a biomarker for early detection.

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Story summary

A study in Neuroscience shows a machine-learning model predicts Alzheimer’s disease from magnetic resonance imaging (MRI) scans with nearly 93% accuracy.
Researchers from Worcester Polytechnic Institute examined 815 MRI scans from participants aged 69 to 84 and found brain volume loss in the hippocampus, amygdala, and entorhinal cortex.
Dr. Dung Trinh notes the right hippocampus shows early tissue loss and may serve as a biomarker for early detection.