AIMC Topic: Quality Improvement
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Bolstering Advance Care Planning Measurement Using Natural Language Processing.
Journal of palliative medicine
Feb 6, 2024
Despite its growth as a clinical activity and research topic, the complex dynamic nature of advance care planning (ACP) has posed serious challenges for researchers hoping to quantitatively measure it. Methods for measurement have traditionally depen...
CT image denoising methods for image quality improvement and radiation dose reduction.
Journal of applied clinical medical physics
Jan 19, 2024
With the ever-increasing use of computed tomography (CT), concerns about its radiation dose have become a significant public issue. To address the need for radiation dose reduction, CT denoising methods have been widely investigated and applied in lo...
Increase in robot assisted operating room efficiency: A quality improvement study.
Journal of pediatric urology
Nov 25, 2023
INTRODUCTION: Pyeloplasties are time-sensitive, and the most common robot assisted intervention performed in pediatric urology. Early intervention is intended to avoid permanent loss of renal function with negative long-term effects if surgery is del...
Establishing a culture of highly reliable quality care.
Surgery
Nov 10, 2023
Reliability is the likelihood that a process will perform a required function without failure, consistent over time and personnel changes. In the rapidly evolving healthcare landscape, reliably delivering excellent surgical care demands a comprehensi...
Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning.
European journal of nuclear medicine and molecular imaging
Sep 6, 2023
PURPOSE: The axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affects the quality of PET images. Although a total-body PET scanner (uEXPLORER) with a large AFOV is more sensitive, it is more expensive and difficult t...
Image quality improvement in bowtie-filter-equipped cone-beam CT using a dual-domain neural network.
Medical physics
Sep 5, 2023
BACKGROUND: The bowtie-filter in cone-beam CT (CBCT) causes spatially nonuniform x-ray beam often leading to eclipse artifacts in the reconstructed image. The artifacts are further confounded by the patient scatter, which is therefore patient-depende...
Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window.
European radiology
Aug 15, 2023
OBJECTIVES: To explore the performance of low-dose computed tomography (LDCT) with deep learning reconstruction (DLR) for the improvement of image quality and assessment of lung parenchyma.
Deep learning reconstruction for brain diffusion-weighted imaging: efficacy for image quality improvement, apparent diffusion coefficient assessment, and intravoxel incoherent motion evaluation in and studies.
Diagnostic and interventional radiology (Ankara, Turkey)
Aug 9, 2023
PURPOSE: Deep learning reconstruction (DLR) to improve imaging quality has already been introduced, but no studies have evaluated the effect of DLR on diffusion-weighted imaging (DWI) or intravoxel incoherent motion (IVIM) in or studies. The purpos...
Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination.
Tomography (Ann Arbor, Mich.)
Aug 9, 2023
In this study, we assess image quality in computed tomography scans reconstructed via DLIR (Deep Learning Image Reconstruction) and compare it with iterative reconstruction ASIR-V (Adaptive Statistical Iterative Reconstruction) in CT (computed tomogr...
SAGES consensus recommendations on surgical video data use, structure, and exploration (for research in artificial intelligence, clinical quality improvement, and surgical education).
Surgical endoscopy
Jul 29, 2023
BACKGROUND: Surgery generates a vast amount of data from each procedure. Particularly video data provides significant value for surgical research, clinical outcome assessment, quality control, and education. The data lifecycle is influenced by variou...
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