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AI-derived automated quantification of cardiac chambers and myocardium from non-contrast CT: Prediction of major adverse cardiovascular events in asymptomatic subjects.
Atherosclerosis
December 2024
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Electronic address:
Background And Aims: The significance of left ventricular mass and chamber volumes from non-contrast computed tomography (CT) for predicting major adverse cardiovascular events (MACE) has not been studied. Our objective was to evaluate the role of artificial intelligence-enabled multi-chamber cardiac volumetry from non-contrast CT for long-term risk stratification in asymptomatic subjects without known coronary artery disease.
Methods: Our study included 2022 asymptomatic individuals (55.
Quality improvement for parenteral nutrition in hospital: Applying a gap analysis to an electronic health record to review parenteral nutrition processing.
Nutr Clin Pract
December 2024
Faculty of Medicine & Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Background: In light of the complex and high-risk nature of parenteral nutrition (PN), reviewing PN processing steps is essential to minimize patient harm. The main steps include ordering, verification, compounding, and administration. Electronic health records (EHRs) have become increasingly utilized and can play a critical role in enhancing the safety of PN processin.
View Article and Find Full Text PDFA gravity-driven microfluidic metering system for automation of multiplexed bioassays.
Lab Chip
January 2025
The Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Sai Kung, New Territories, Hong Kong.
Automatic and precise fluid manipulation is essential in microfluidic applications. Microfluidic metering, in particular, plays a critical role in achieving the multiplexity of assays, reaction consistency, quantitative analysis, and the scalability of microfluidic operations. However, existing fluid metering techniques often face limitations, such as high complexity, high cost, reliance on external accessories, and lack of precision, which have restricted their use in multiplexed and quantitative analysis, especially in portable applications.
View Article and Find Full Text PDFUnsupervised Freeview Groupwise Cardiac Segmentation Using Synchronized Spectral Network.
IEEE Trans Med Imaging
September 2016
The diagnosis, comparative and population study of cardiac radiology data require heart segmentation on increasingly large amount of images from different modalities/chambers/patients under various imaging views. Most existing automatic cardiac segmentation methods are often limited to single image segmentation with regulated modality/region settings or well-cropped ROI areas, which is impossible for large datasets due to enormous device protocols and institutional differences. A pure data-driven unsupervised segmentation without regulated setting requirements is crucial in this scenario, and will significantly automate the manual work and adopt the various changes of modality, subject or view.
View Article and Find Full Text PDFA microfluidic device integrated with multichamber polymerase chain reaction and multichannel separation for genetic analysis.
Anal Chim Acta
July 2010
Dalian Institute of Chemical Physics, Chinese Academy of Sciences, 457 Zhongshan Road, Dalian 116023, PR China.
This work describes a microfluidic device integrated with multichamber polymerase chain reaction (PCR) and multichannel separation for parallel genetic analysis. The microdevice consists of three functional units: temperature control, multiple PCR (four chambers PCR), and multiple channel separation (four separation channels, each channel connected to a PCR chamber). Platinum (Pt)/titanium (Ti) microheater was used to ensure homogeneous temperature field, and Pt-chip sensor was used for temperature monitoring.
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