Deep Learning Classifies HC, MCI, and AD via CT

A groundbreaking study led by researchers Hsiao, Lin, and Chang has made significant strides in neuroimaging, particularly in the realms of health monitoring for conditions like Healthy Control (HC), Mild Cognitive Impairment (MCI), and Alzheimer’s Disease (AD). Utilizing advanced deep learning techniques, the researchers explored the potential of computed tomography (CT) scans to accurately differentiate between these critical health conditions. Their findings were published in the Journal of Medical and Biological Engineering, marking a notable contribution to the understanding and diagnosis of neurodegenerative diseases.