The application of artificial intelligence (AI) in neurology is a growing field offering opportunities to improve accuracy of diagnosis and treatment of complicated neuronal disorders, plus fostering a deeper understanding of the aetiologies of these diseases through AI-based analyses of large omics data. The most common neurodegenerative disease, Alzheimer's disease (AD), is characterized by brain accumulation of specific pathological proteins, accompanied by cognitive impairment. In this review, we summarize the latest progress on the use of AI in different AD-related fields, such as analysis of neuroimaging data enabling early and accurate AD diagnosis; prediction of AD progression, identification of patients at higher risk and evaluation of new treatments; improvement of the evaluation of drug response using AI algorithms to analyze patient clinical and neuroimaging data; the development of personalized AD therapies; and the use of AI-based techniques to improve the quality of daily life of AD patients and their caregivers.

Department of Clinical Molecular Biology University of Oslo and Akershus University Hospital 1478 Lørenskog Norway

Memory Clinic Department of Neurology 2nd Faculty of Medicine Charles University and Motol University Hospital Prague Czech Republic

Memory Clinic Department of Neurology 2nd Faculty of Medicine Charles University and Motol University Hospital Prague Czech Republic; Augusta University University of Georgia Medical Partnership Medical College of Georgia Athens GA USA

Memory Clinic Department of Neurology 2nd Faculty of Medicine Charles University and Motol University Hospital Prague Czech Republic; INDRC International Neurodegenerative Disorders Research Center Prague Czech Republic

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