Scientists at Örebro University in Sweden have developed two new AI models that can differentiate between healthy individuals and patients with dementia, including Alzheimer’s disease.

These models are capable of analysing the brain’s electrical activity to interpret electroencephalogram (EEG) signals for diagnostic purposes. 

In one study, ‘An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer’s disease and frontotemporal dementia’, the researchers combined temporal convolutional networks and long short-term memory (LSTM) for analysing the signals.