APPLICATION OF DEEP LEARNING MODEL BASED ON UNENHANCED CHEST CT FOR OPPORTUNISTIC SCREENING OF OSTEOPOROSIS: A MULTICENTER RETROSPECTIVE COHORT STUDY

Abstract Introduction A large number of middle-aged and elderly patients have an insufficient understanding of osteoporosis and its harm.This study aimed to establish and validate a convolutional neural network (CNN) model based on unenhanced chest computed tomography (CT) images of the vertebral body and skeletal muscle for opportunistic screening

To reduce energy consumption while a human is walking with different loads, an active energy storage mechanism and a gait cycle prediction method are proposed, and then a wearable ankle assistance robot is developed.A motor, a clutch, and elastic rods are placed strategically in the active energy storage mechanism to achieve energy storage and rele

The cerebellum plays a crucial role in motor learning and memory, and recent studies have proposed various cerebellar models to investigate these functions.This review examines the literature on different levels lock shock and barrel art of cerebellar modeling, including animal models, neuronal and synaptic plasticity models, relevant artificial in