Deep learning involves training artificial neural networks to recognize patterns and make predictions, holding significant potential in detecting early signs of cognitive decline.
Combining EEG technology with deep learning empowers researchers to develop precise diagnostic tools for Alzheimer's, positioning the US as a leader in healthcare.
Early Alzheimer's detection through deep learning and EEG offers benefits like reduced healthcare costs and improved quality of life for Americans.
Deep learning models trained on EEG data enhance diagnostic accuracy and enable personalized treatment plans, advancing patient care standards globally.