Introduction Differential diagnosis of dementia has always been a challenge in neurology. Due to the overlap of symptoms from various causes, this process is particularly complex. However, accurate differential diagnosis is crucial for developing early personalized treatment strategies. On July 4th, Nature Medicine reported “AI-based differential diagnosis of dementia etiologies on multimodal data“ which introduced … Read more
Highlights: This article systematically reviews the application of a deep learning method—Generative Adversarial Networks (GANs)—in the auxiliary diagnosis of Alzheimer’s Disease (AD) and the processing of neuroimaging data (image denoising, image segmentation, data augmentation, and modality conversion); This article finds that compared to other methods, GANs exhibit higher classification accuracy in AD auxiliary diagnosis tasks … Read more
1. Background The development of the brain is influenced by multiple factors, with a higher socioeconomic status (higher socioeconomic status, SES) being one of the important factors. SES during childhood and adolescence is associated with stronger cognitive abilities, academic achievements, and lower rates of mental illness, and can even affect the development of the cerebral … Read more