A groundbreaking convolutional neural network (CNN) architecture has emerged as a potential game-changer in diagnosing Alzheimer’s disease (AD). Developed by a team of researchers, the new CNN model demonstrates remarkable accuracy in categorizing AD subtypes and stages using magnetic resonance imaging (MRI) data. This breakthrough could revolutionize the way AD is diagnosed and managed, offering
