Cross-modal AI links speech and text for Alzheimer’s detection
A bidirectional AI model combining speech acoustics with transcript meaning reached 90.42% accuracy on the ADReSS Alzheimer’s disease benchmark in ...
A bidirectional AI model combining speech acoustics with transcript meaning reached 90.42% accuracy on the ADReSS Alzheimer’s disease benchmark in ...
A hybrid CNN–BiLSTM network with additive attention classifies brain MRI into four Alzheimer's disease stages with 95.94% slice-level accuracy, while ...
Alzheimer's disease affects tens of millions of people worldwide, and the World Health Organization estimates that over 55 million people ...
A new multi-stream deep learning framework called MS-AtroNet combines convolutional, state-space, wavelet, and evidential components to classify Alzheimer's MRI slices ...
In groundbreaking developments within the field of neuroimaging, a recent study introduces a novel radiotracer that has shown promise in ...
In the ongoing pursuit of breakthroughs in healthcare, particularly in the realm of neurodegenerative diseases, a novel approach has recently ...
In the realm of neurodegenerative diseases, Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) stand as two of the most ...
In a groundbreaking stride towards revolutionizing neurological diagnostics, recent research has unveiled the remarkable potential of deep learning algorithms to ...
Alzheimer’s disease (AD) continues to pose one of the greatest challenges in modern medicine, impacting millions worldwide with progressive cognitive ...
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© 2025 Scienmag - Science Magazine