ObjectiveNeurodegenerative disorders, such as Alzheimer’s disease, continue to represent a major economic, social and healthcare burden. These diseases remain underdiagnosed or are diagnosed too late for meaningful interventions. The development of screening tests capable of detecting neurodegenerative diseases during early, preferably asymptomatic, stages has been a highly unmet need. Since such tests will be used for screening large populations of people, they should be non-invasive, inexpensive, and ideally independent of language, education, culture and practice. Taking advantage of new AI and machine learning techniques, we have developed a 5-minute integrated cognitive assessment tool (ICA) that meets these criteria, and can learn from new data to improve itself. The test can be additionally used for monitoring the progression of the disease or effectiveness of the treatments.