Dementia, and more specifically Alzheimer's disease, is a neurodegenerative disease that affects over six million Americans and significantly more globally.  Currently, there is no complete cure for Alzheimer's disease despite the few medications approved by the FDA, which treat symptoms and may prolong life expectancy by only a few years with significant adverse drug effects.  Alzheimer's disease is caused by multi-toxic mechanisms such as genetic factors, inflammation, apoptosis, mitochondrial dysfunction, excitotoxicity, and oxidative stress.  All these neurotoxic insults lead to an accumulation of amyloid-beta sheets/plaques, hyper-phosphorylated tau, and neurofibrillary tangles leading to neuronal death specifically in the hippocampus and cortex.  Consequently, this will lead to symptoms including loss of memory and motor control, trouble with speech, difficulty swallowing, and neuropsychiatric issues.  Without a clear insight, this can significantly affect the current and future generations by drastically augmenting morbidity and mortality.  Therefore, this epidemic immediately needs new tools to help healthcare professionals and patients in their battle against Alzheimer's disease.  Artificial intelligence (AI) has swept the news and social media with recent leaps and bounds in various fields to improve the quality of human lives.  However, AI is poised to become the most potent tool healthcare professionals have ever had.  By using vast amounts of data in neural networks, programs can take in the current/latest information and provide suggestions and conclusions.  Thus, AI looks ready to help in personalized medicine and drug discovery.  Through this AI will help decrease the cost, mortality, and morbidity of Alzheimer's disease patients.  This study will propose the effective role of artificial intelligence in the diagnosis, prevention, and treatment of Alzheimer’s Disease.