Author(s)

Robert Logan^1,2, Sabrina S. Zerbey², Sean J. Miller¹

¹Pluripotent Diagnostics, Molecular Medicine Research Institute, Sunnyvale, CA, USA.
²Department of Biology, Eastern Nazarene College, Quincy, MA, USA.

Alzheimer’s disease (AD) is a leading cause of death, yet there is no disease-modifying drug therapy currently available. It is critical to establish a diagnosis of AD before clinical system onset so that drug therapies can start earlier. Unfortunately, this is not the current standard practice. Artificial intelligence (AI) holds tremendous promise for identifying AD related structural changes in brain scan images. This paper discusses the recent applications and potential future directions for AI in AD diagnostics. Annual brain scanning and computer vision-assisted early diagnosis is encouraged, so that disease-modifying drug therapy could begin earlier in the progressive pathology.

Artificial Intelligence, Convolutional Neural Network, Disease Detection, Neu-rodegeneration, Alzheimer’s Disease

Logan, R. , Zerbey, S. and Miller, S. (2021) The Future of Artificial Intelligence for Alzheimer’s Disease Diagnostics. Advances in Alzheimer's Disease, 10, 53-59. doi: 10.4236/aad.2021.104005.