Prediction of Aβ State from Brain Amyloid PET Images Using Machine Learning Algorithm

Analyzing brain amyloid positron emission tomography (PET) images to access the occurrence of β‐Amyloid (Aβ) deposition in Alzheimer’s patients requires a lot of time and effort from physicians and also the variation of each interpreter may differ. For this reason, a machine learning model was developed using a convolutional neural network (CNN) as an objective decision to predict the Aβ‐positive and Aβ‐negative status from brain amyloid PET images.