Researchers from Cambridge University have developed a new method for predicting the progression of Alzheimer’s disease (AD), which promises 80% accuracy.

BrainSee is designed to predict the likelihood of progression from MCI to Alzheimer’s dementia within 5 years, allowing doctors and patients to make informed decisions early.

Researchers developed a deep learning model that predicts Alzheimer’s progression with high accuracy, highlighting differences in disease progression across race and sex.

Journal reference: Amini S, Hao B, Yang J, et al. (2024) Prediction of Alzheimer’s disease progression within 6 years using speech: A novel approach leveraging language models.

Researchers at the University of Cambridge, UK, have developed a new AI tool that predicts Alzheimer's disease progression with 82% accuracy from routinely collected cognitive tests and MRI scans.

An AI program has proven better than doctors at sifting through the telltale signs that indicate who with early dementia will progress to Alzheimer's disease, a new study says.

A new AI Alzheimer's detection tool can listen to voice recordings and accurately determine if you'll develop the disease.

Overall, AI was about three times more accurate at predicting the progression to Alzheimer’s than doctors armed with brain scans, cognitive testing and analysis of spinal fluid for telltale ...

Researchers from the University of Cambridge’s Department of Psychology have developed a new AI model that outperforms current clinical tests in predicting the progression of Alzheimer's disease.

Cambridge researchers have developed a new method to predict the progression of Alzheimer’s disease (AD). The proposed model promises 80% accuracy and will help health practitioners recommend ...