Alzheimer’s disease is a progressive condition that can cause memory loss and cognitive decline. Detecting Alzheimer’s typically requires a comprehensive medical evaluation, which a person may only receive after presenting symptoms that could suggest a decline in brain functioning.
Alzheimer’s disease slowly worsens over time, and an early, accurate diagnosis can be beneficial for treating the progression of the disease. However, early diagnosis is often challenging because initial symptoms may resemble typical age-related changes in memory or thinking
As such, diagnostic methods to diagnose Alzheimer’s disease early, or even predict the onset of symptoms, could be critical for maximizing the effectiveness of emerging, disease-modifying treatments and manage the condition.
A new study, published in Neuroscience, highlights an artificial intelligence (AI) tool that analyzes MRI scans and identifies patterns of brain volume loss associated with Alzheimer’s disease.
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