Cambridge researchers have developed an AI tool that accurately predicts Alzheimer’s progression in individuals with early dementia signs, using non-invasive and cost-effective methods. This innovation could significantly reduce reliance on costly diagnostic procedures and improve early intervention strategies, potentially benefiting millions globally. Credit: SciTechDaily.
com An AI model from Cambridge University can predict Alzheimer’s progression with 82% accuracy using simple cognitive tests and MRI scans, offering a non-invasive and cheaper alternative to traditional diagnostics. Cambridge scientists have developed an artificially intelligent tool capable of predicting in four cases out of five whether people with early signs of dementia will remain stable or develop Alzheimer’s disease. The team says this new approach could reduce the need for invasive and costly diagnostic tests while improving treatment outcomes early when interventions such as lifestyle changes or new medicines may have a chance to work best.
The Global Challenge of Dementia Dementia poses a significant global healthcare challenge, affecting over 55 million people worldwide at an estimated annual cost of $820 billion. The number of cases is expected to almost treble over the next 50 years. The main cause of dementia is Alzheimer’s disease, which accounts for 60-80% of cases.
Early detection is crucial as this is when treatments are likely to be most effective, yet early dementia diagnosis and.