Results 191 to 200 of about 600,233 (300)

Evaluation of efficacy in prostate cancer contouring for MR-guided radiotherapy using structured contouring training modules. [PDF]

Tech Innov Patient Support Radiat Oncol
Fang B, Zahary Loreman H, Bayley C, Stewart C, George K, Al-Amoodi M, Jooya A, Quon H, Sia M, Lee SL.   +9 more
europepmc   +1 more source

Pelvic venous disorders in women: Diagnosis and management for gynecologists

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Pelvic venous disorders (PeVD) are an underrecognized yet significant cause of chronic pelvic pain (CPP) in reproductive‐aged women, characterized by venous reflux, obstruction, or both. This clinical opinion provides a practical overview of PeVD for gynecologists, outlining its pathophysiology, common presentations, diagnostic approach, and ...
Tiffany Ni, Inbar Friedman, Jessica Smith, Brian Liu, Mary Melchior, Andrew D. Brown   +5 more
wiley   +1 more source

An enhanced connected banking system optimizer incorporating triple mechanism for solving global optimization problems. [PDF]

Sci Rep
Qian D, Cai X, Feng L, Ye Y.
europepmc   +1 more source

A comparison in maternal and neonatal outcomes between mild fundal pressure and vacuum extraction for shortening the second stage of labor

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective Mild fundal pressure (MFP) and vacuum extraction (VE) are interventions used during the second stage of labor when clinical intervention is required. While VE is well established with standardized training and predictable risks, MFP remains controversial with limited comparative data. This study aimed to compare maternal and neonatal
Omri Dominsky, Nurit Malka Goldwasser, Roza Berkovits‐Shperling, Michal Rosenberg‐Friedman, Yoav Baruch, Yariv Yogev, Anat Lavie   +6 more
wiley   +1 more source

Enhanced Red-billed Blue Magpie Optimizer for engineering optimization problems. [PDF]

Sci Rep
Wang H, Xin Z, Qi X, Zhou Q, Liu J, Li Z.   +5 more
europepmc   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

Artificial intelligence-enhanced electrocardiogram for the detection of rheumatic heart disease. [PDF]

Eur Heart J Digit Health
Bhorat R, Harmon DM, Liu K, Dugan J, Ngo C, Friedman PA, Bagula H, Ntsekhe M, Attia ZI.   +8 more
europepmc   +1 more source

Subchronic Exposure to Arsenic and Nickel Triggers Nitrosative Stress and Histological Alterations in the Rat Liver

Journal of Applied Toxicology, EarlyView.
ABSTRACT Environmental exposure to heavy metals poses a threat to human health. Several studies documented harmful effects on the liver after arsenic and nickel exposure at concentrations beyond permissible limits. Nevertheless, the impact of a simultaneous exposure to both elements on hepatic biochemistry and histology remains unelucidated. Therefore,
Thainá Iasbik‐Lima, Luiz Otávio Guimarães‐Ervilha, Isabela Pereira da Silva Bento, Renê Chagas da Silva, Mariana Machado‐Neves   +4 more
wiley   +1 more source

Clustering Performance Analysis Using Chaotic and Lévy Flight-Enhanced Black-Winged Kite Algorithms. [PDF]

Biomimetics (Basel)
Alabed T, Servi S.
europepmc   +1 more source

The Comparative Sensitivity of the Male Toad Pregnancy Test and the Friedman Test [PDF]

Journal of Clinical Pathology, 1953
openaire   +2 more sources