Fig. 2

ICA’s AI’s pathway. The ICA measures categorization accuracy, processing speed, accuracy and speed over time and the raw data from these measurements are combined with patients’ demographic data, in order to provide a predictive score about participant’s cognitive status. The above-mentioned extracted features from the ICA raw data, plus patient’s demographic data are fed into an MLR classifier hosted on amazon AWS cloud services. The classifier then returns its predicted cognitive status, along with a probability, associated with the label, that shows how confident the AI engine is about the predicted label. The icons used in this figure are taken from Microsoft Office free icon library