Health care quality measurement has become increasingly emphasized, as providers and administrators respond to public and government demands for improved patient care. This article will review the evolution of surgical quality measurement and improvement from its infancy in the 1850s to the vast efforts being undertaken today.
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| http://dx.doi.org/10.1055/s-0034-1366912 | DOI Listing |
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Evaluation of a Deep Learning Denoising Algorithm for Dose Reduction in Whole-Body Photon-Counting CT Imaging: A Cadaveric Study.
Acad Radiol
January 2025
Department of Radiology, University Hospital Tuebingen, Hoppe-Seyler-Str. 3, 72076 Tuebingen, Germany (R.D., J.M.B., B.S., J.M., S.G., P.K., S.W., J.H., K.N., S.A., A.B.).
Rationale And Objectives: Photon Counting CT (PCCT) offers advanced imaging capabilities with potential for substantial radiation dose reduction; however, achieving this without compromising image quality remains a challenge due to increased noise at lower doses. This study aims to evaluate the effectiveness of a deep learning (DL)-based denoising algorithm in maintaining diagnostic image quality in whole-body PCCT imaging at reduced radiation levels, using real intraindividual cadaveric scans.
Materials And Methods: Twenty-four cadaveric human bodies underwent whole-body CT scans on a PCCT scanner (NAEOTOM Alpha, Siemens Healthineers) at four different dose levels (100%, 50%, 25%, and 10% mAs).
An overview of sound source localization based condition monitoring robots.
ISA Trans
December 2024
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK. Electronic address:
As artificial intelligence advances and demand for cost-effective equipment maintenance in various fields increases, it is worth insightful research on utilizing robots embedded with sound source localization (SSL) technology for condition monitoring. Combining the two techniques has significant advantages, which are conducive to further classifying and tracking abnormal sources, thereby enhancing system performance at a lower cost. The paper provides an overview of current acoustic-based robotic techniques for condition monitoring, highlights the common SSL methods, and finds that localization performance heavily depends on signal quality.
View Article and Find Full Text PDFImpact of Treatment With Trifluridine/Tipiracil in Combination With Bevacizumab on Health-Related Quality of Life and Performance Status in Refractory Metastatic Colorectal Cancer: An Analysis of the Phase III SUNLIGHT Trial.
Clin Colorectal Cancer
December 2024
Medical University Vienna, Department of Medicine I, Vienna, Austria. Electronic address:
Background: The efficacy of trifluridine/tipiracil (FTD/TPI) + bevacizumab compared to FTD/TPI for treatment of refractory metastatic colorectal cancer (mCRC) was demonstrated in the SUNLIGHT trial. This analysis of SUNLIGHT investigated the impact of treatment with FTD/TPI + bevacizumab on patient quality of life (QoL) and Eastern Cooperative Oncology Group performance status (ECOG PS).
Methods: Questionnaires (EORTC QLQ-C30 and EQ-5D-5L) and ECOG PS assessments were conducted at baseline and on Day 1 of each treatment cycle.
Objective: To update and establish content validity for the Checklist of NICU Caregiver Behaviors.
Design: Structured literature review and Delphi analysis.
Setting/local Problem: Neonates born prematurely or who are sick in the NICU are frequently exposed to harmful stimuli that can affect brain development and result in adverse neurodevelopmental outcomes.
Towards healthy sleep environments: Ambient, indoor, and personal exposure to PM and its implications in children's sleep health.
Environ Res
January 2025
Department of Civil, Environmental, & Architectural Engineering, Worcester Polytechnic Institute, Worcester, MA, United States. Electronic address:
The growing impact of climate change and escalating wildfire seasons has led to heightened ambient air pollution, potentially affecting children's sleep health. However, current epidemiological research often relies on outdoor weather data to model the environmental impacts on sleep health, potentially mischaracterizing the actual bedroom environment. To address these challenges, we conducted experiments to investigate the relationships among ambient, indoor, and personal exposure to PM concentrations and obstructive sleep apnea (OSA) in children.
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