Authors

Sarah A. Graham, Ellen E. Lee, Dilip V. Jeste, Ryan Van Patten, Elizabeth W. Twamley, Camille Nebeker, Yasunori Yamada, Ho-Cheol Kim, Colin A. Depp, 

Abstract

Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. This paper deals with the use, benefits, and limitations of AI for predicting, diagnosing, and classifying mild and major neurocognitive impairments, by providing a conceptual overview of this topic with emphasis on the features explored and AI techniques employed. 

Artificial Intelligence is still incipient, but it has great potential to advance the diagnosis and treatment of patients with neurocognitive disorders. It can improve personalization and predictability in healthcare, enabling better clinical decision making.