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AI Approach Helps Classify Alzheimer's Disease with Improved Accuracy

AI Approach Helps Classify Alzheimer's Disease with Improved Accuracy
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Researchers enhance Alzheimer's disease classification through artificial intelligence

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(Boston) Warning signs for Alzheimer s disease (AD) can begin in the brain years before the first symptoms appear. Spotting these clues may allow for lifestyle changes that could possibly delay the disease s destruction of the brain.
Improving the diagnostic accuracy of Alzheimer s disease is an important clinical goal. If we are able to increase the diagnostic accuracy of the models in ways that can leverage existing data such as MRI scans, then that can be hugely beneficial, explained corresponding author Vijaya B. Kolachalama, PhD, assistant professor of medicine at Boston University School of Medicine (BUSM).
Using an advanced AI (artificial intelligence) framework based on game theory (known as generative adversarial network or GAN), Kolachalama and his team processed brain images (some low and high quality) to generate a model that was able to classify Alzheimer s disease with improved accuracy. ....

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