A new artificial intelligence tool developed by Cambridge scientists can predict whether individuals with early signs of dementia will develop Alzheimer’s disease with 80% accuracy. This approach aims to reduce the need for invasive and costly diagnostic tests while improving treatment outcomes. Early detection is crucial, as treatments are most effective at this stage. The AI model uses cognitive tests and MRI scans to predict progression to Alzheimer’s, outperforming current clinical tools. This tool has the potential to improve patient care, reduce misdiagnosis, and allocate resources more effectively in healthcare settings. Future research aims to extend the model to other forms of dementia.
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Artificial intelligence outperforms clinical tests at predicting progress of Alzheimer’s disease
