Artificial intelligence predicts Alzheimer's

ConclusionBy using fluorine 18 fluorodeoxyglucose PET of the brain, a deep learning algorithm developed for early prediction of Alzheimer disease achieved 82% specificity at 100% sensitivity, an average of 75.8 months prior to the final diagnosis.Alzheimer's Clock Draw Test -- Detect the Signs of Alzheimer's EarlyCan An Undetected Urinary Tract Infection Can Kill an Alzheimer's PatientAlzheimer's Care Using the Brain to Create HappinessLearn More from Our Award Winning Knowledge Base - Topics PagesMy mom has dementia and is meanHow do you talk and communicate effectively with a dementia patientHow to live with someone who has Alzheimer'sThe Award Winning Alzheimer ’s Reading Room Knowledge Base is considered to be the highest quality, deepest collection, of information on Alzheimer’s and dementia in the world. Ranked #1 by Healthline for 7 straight years (2012-2018).Need Help? Search Our Award Winning Knowledge Base for Answers to Your Questions About Alzheimer's and DementiaOriginally published in theAlzheimer's Reading RoomCitation"A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain". Radiology, 2018; 180958 DOI:10.1148/radiol.2018180958"Drs. Sohn, Franc, and Seo and Ms. Ding were Michael G. Kawczynski, M.S., Hari Trivedi, M.D., Roy Harnish, M.S., Nathaniel W. Jenkins, M.S., Dmytro Lituiev, Ph.D., Timothy P. Copeland, M.P.P., Mariam S. Aboian, M.D., Ph.D., Carina Mari Aparici, M.D., Spencer C. Behr, M.D., Robert R. Flavell...
Source: Alzheimer's Reading Room, The - Category: Neurology Tags: alzheimers alzheimers research Artificial intelligence brain brain imaging health improve diagnosis predict alzheimer science Source Type: blogs