Publications by authors named "Zhuqing Bao"
Article Synopsis
- - The study surveyed 452 radiologists in southeast China to assess their knowledge, attitudes, and practices regarding AI in medical imaging, utilizing a self-administered questionnaire and structural equation modeling for analysis.
- - Results revealed that radiologists with advanced degrees, specific experience, and AI-related training demonstrated better knowledge and more positive attitudes towards AI, with 75.22% actively practicing AI-related techniques.
- - The study concluded that while radiologists generally view AI favorably and understand its potential benefits, about half lack the necessary training to fully utilize these technologies in their work.
In this paper, an artificial intelligence segmented dynamic video image based on the process of intensive cardiovascular and cerebrovascular disease monitoring is deeply investigated, and a sparse automatic coding deep neural network with a four layers stack structure is designed to automatically extract the deep features of the segmented dynamic video image shot, and six categories of normal, atrial premature, ventricular premature, right bundle branch block, left bundle branch block, and pacing are achieved through hierarchical training and optimization. Accurate recognition of heartbeats with an average accuracy of 99.5%.
View Article and Find Full Text PDFRationale And Objectives: Silent TW and TW magnetic resonance imaging (MRI) can be used to study myelination in children, but the success rate of silent diffusion-weighted imaging is unknown. This study aimed to evaluate the success rate and image quality of silent MRI for the brain of children.
Materials And Methods: This was a retrospective study of 3-36-month children who underwent silent or conventional brain MRI at the People's Hospital of Northern Jiangsu from 01/2015 to 02/2018.