Brain Waves and Machine Learning Join Forces to Tell Alzheimer’s and FTD Apart
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
A new explainable machine learning framework combining EEG signals with clinical data distinguishes Alzheimer's disease from frontotemporal dementia with 89.8 ...
Researchers have built a federated hybrid quantum-classical neural network that classifies Alzheimer's disease from MRI scans with benchmark accuracies above ...
A major new review in BMC Medicine argues that AI tools for early dementia diagnosis are failing in clinical practice ...
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© 2025 Scienmag - Science Magazine