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A comparison of keratoconus progression following collagen cross-linkage using standard or personalised keratometry thresholds
ObjectiveTo define how estimates of keratoconus progression following collagen cross-linking (CXL) vary according to the parameter selected to...
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Evaluating the accuracy of satellite-based methods to estimate residential proximity to agricultural crops
BackgroundEpidemiologic investigations increasingly employ remote sensing data to estimate residential proximity to agriculture as a means of...
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Is race adjustment necessary to estimate glomerular filtration rate in South Brazilians?
Background and aimsRace coefficients (RC) in equations to estimate glomerular filtration rate (GFR) have been highly questioned. We aimed to evaluate...
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Employing Multiple Low-Dose PET Images (at Different Dose Levels) as Prior Knowledge to Predict Standard-Dose PET Images
The existing deep learning-based denoising methods predicting standard-dose PET images (S-PET) from the low-dose versions (L-PET) solely rely on a...
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Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance
ObjectiveTo identify delivery error type and predict associated error magnitude by image-based features using machine learning (ML).
Methods ...
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Cost-Effectiveness Analysis of Pharmacogenomics (PGx)-Based Warfarin, Apixaban, and Rivaroxaban Versus Standard Warfarin for the Management of Atrial Fibrillation in Ontario, Canada
ObjectiveTo assess the cost-effectiveness of pharmacogenomics (PGx)-based warfarin (i.e., warfarin dosing following genetic testing), apixaban, and...
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Gurka vs Slaughter equations to estimate the fat percentage in children with cerebral palsy from all subtypes and levels of the Gross Motor Function Classification System
BackgroundBody composition assessment in children with cerebral palsy (CP) is a challenge, specially the fat percentage. There are different methods...
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Sample size recommendations for studies on reliability and measurement error: an online application based on simulation studies
Simulation studies were performed to investigate for which conditions of sample size of patients (n) and number of repeated measurements (k) (e.g.,...
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A Principal Component Analysis Approach to Estimate the Disability Status for Patients with Multiple Sclerosis Using Japanese Claims Data
IntroductionClaims databases are preferred for research on multiple sclerosis (MS) as this condition is characterized by low prevalence and long...
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Ultra-low-dose vs. standard-of-care-dose CT of the chest in patients with post-COVID-19 conditions—a prospective intra-patient multi-reader study
ObjectivesTo conduct an intrapatient comparison of ultra-low-dose computed tomography (ULDCT) and standard-of-care-dose CT (SDCT) of the chest in...
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Multilevel log linear model to estimate the risk factors associated with infant mortality in Ethiopia: further analysis of 2016 EDHS
BackgroundInfant mortality is defined as the death of a child at any time after birth and before the child’s first birthday. Sub-Saharan Africa has...
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Generalized Confidence Intervals for Ratios of Standard Deviations Based on Log-Normal Distribution when Times Follow Weibull Distributions
Modern anesthetic drugs ensure the efficacy of general anesthesia. Goals include reducing variability in surgical, tracheal extubation,...
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Investigation of a method to estimate the average speed of sound using phase variances of element signals for ultrasound compound imaging
PurposeIn the receive beamforming of an ultrasonography system, a B-mode image is reconstructed by assuming an average speed of sound (SoS) as a...
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Global estimates on the number of people blind or visually impaired by Uncorrected Refractive Error: a meta-analysis from 2000 to 2020
BackgroundUncorrected refractive error (URE) is a readily treatable cause of visual impairment (VI). This study provides updated estimates of global...
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Deep Transfer Learning for Ethnically Distinct Populations: Prediction of Refractive Error Using Optical Coherence Tomography
IntroductionThe mismatch between training and testing data distribution causes significant degradation in the deep learning model performance in...
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Energy intake estimation using a novel wearable sensor and food images in a laboratory (pseudo-free-living) meal setting: quantification and contribution of sources of error
ObjectivesDietary assessment methods not relying on self-report are needed. The Automatic Ingestion Monitor 2 (AIM-2) combines a wearable camera that...
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BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI
PurposeMRI-derived brain volume loss (BVL) is widely used as neurodegeneration marker. SIENA is state-of-the-art for BVL measurement, but limited by...
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Low-dose coronary artery calcium scoring compared to the standard protocol
BackgroundWe aimed to compare coronary artery calcium scoring (CACS) with computed tomography (CT) with 80 and 120 kVp in a large patient population...
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Using outbreak data to estimate the dynamic COVID-19 landscape in Eastern Africa
BackgroundThe emergence of COVID-19 as a global pandemic presents a serious health threat to African countries and the livelihoods of its people. To...
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Partial voxel interpolation to reduce partial volume error of cardiac computed tomography ventricular volumetry in patients with congenital heart disease
BackgroundVarying degrees of partial volume error depending on the complexity of the endocardial borders are inevitable in threshold-based cardiac...
