Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s12223-013-0255-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Importance of neural network complexity for the automatic segmentation of individual thigh muscles in MRI images from patients with neuromuscular diseases.
MAGMA
January 2025
Aix Marseille Univ, CNRS, CRMBM, Marseille, France.
Objective: Segmentation of individual thigh muscles in MRI images is essential for monitoring neuromuscular diseases and quantifying relevant biomarkers such as fat fraction (FF). Deep learning approaches such as U-Net have demonstrated effectiveness in this field. However, the impact of reducing neural network complexity remains unexplored in the FF quantification in individual muscles.
View Article and Find Full Text PDFProjections of Public Spending on Pharmaceuticals: A Review of Methods.
Pharmacoeconomics
January 2025
Belgian Health Care Knowledge Centre, Brussels, Belgium.
Background: Forecasting future public pharmaceutical expenditure is a challenge for healthcare payers, particularly owing to the unpredictability of new market introductions and their economic impact. No best-practice forecasting methods have been established so far. The literature distinguishes between the top-down approach, based on historical trends, and the bottom-up approach, using a combination of historical and horizon scanning data.
View Article and Find Full Text PDFRetrospective observational cohort study of premature neonates screened for ROP with 7 years of follow-up assessing the visual outcomes and adequacy of preschool visual screening.
BMJ Open Ophthalmol
December 2024
Ophthalmology, Royal Hospital for Children, Glasgow, UK.
Background: Very premature infants screened for retinopathy of prematurity (ROP) that do not develop ROP still experience serious visual developmental challenges, and while it is recommended that all children in the UK are offered preschool visual screening, we aimed to explore whether this vulnerable group requires dedicated follow-up.
Methods: We performed a real-world retrospective observational cohort study of children previously screened for ROP in NHS Greater Glasgow and Clyde (Scotland) between 2013 and 2015. We excluded those with any severity of ROP identified during screening.
A Multianalyte Machine Learning Model to Detect Wrong Blood in Complete Blood Count Tube Errors in a Pediatric Setting.
Clin Chem
January 2025
Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Background: Multianalyte machine learning (ML) models can potentially identify previously undetectable wrong blood in tube (WBIT) errors, improving upon current single-analyte delta check methodology. However, WBIT detection model performance has not been assessed in a real-world, low-prevalence context. To estimate real-world positive predictive values, we propose a methodology to assess WBIT detection models by evaluating the impact of missing data and by using a "low prevalence" validation data set.
View Article and Find Full Text PDFAbsorbable Powder Haemostat Use in Minimally Invasive Thoracic Surgery.
J Clin Med
December 2024
San Camillo Forlanini Hospital, Circonvallazione Gianicolense 87, 00186 Rome, Italy.
: Significant intraoperative and postoperative blood loss are rare but possibly life-threatening complications after lung resection surgery either during open or minimally invasive procedures. Microporous Polysaccharide Haemospheres (ARISTA™AH) have demonstrated time-efficient haemostasis, lower postoperative blood volumes and a lower blood transfusion requirement, without any identified adverse events across other specialities. The primary aim of our study was to evaluate the impact of ARISTA™AH on short-term postoperative outcomes in thoracic surgery.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!