Cost drivers of gastric sleeve procedures performed using robotic platform.

Background: Robotic bariatric surgery adoption rates have increased, and the higher costs associated with robotic sleeve gastrectomy (rSG) are a concern.

Objectives: To investigate the factors associated with increased costs of rSG.

Setting: US hospital database.

Patterns of diuretic titration during inpatient management of acute decompensated heart failure.

Introduction: Hospitalization rates for acute decompensated heart failure (ADHF) have increased, resulting in 6.5 million hospital days annually. Despite this, optimal diuretic strategies for managing ADHF remain unclear, highlighting the need to analyze diuretic practice patterns in ADHF treatment.

Investigating antioxidant effects of hamamelitannin-conjugated zinc oxide nanoparticles on oxidative stress-Induced neurotoxicity in zebrafish larvae model.

Background: An excessive amount of reactive oxygen species triggers oxidative stress, leading to an imbalance in cellular homeostasis. Antioxidant therapy is an effective tool for lowering the oxidative stress and associated ailments. Recently, green nano-based drug formulations have demonstrated promising antioxidant activity and neutralizing oxidative stress.

On network deconvolution for undirected graphs.

Network deconvolution (ND) is a method to reconstruct a direct-effect network describing direct (or conditional) effects (or associations) between any two nodes from a given network depicting total (or marginal) effects (or associations). Its key idea is that, in a directed graph, a total effect can be decomposed into the sum of a direct and an indirect effects, with the latter further decomposed as the sum of various products of direct effects. This yields a simple closed-form solution for the direct-effect network, facilitating its important applications to distinguish direct and indirect effects.

Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma Center.

Purpose To evaluate the performance of the top models from the RSNA 2022 Cervical Spine Fracture Detection challenge on a clinical test dataset of both noncontrast and contrast-enhanced CT scans acquired at a level I trauma center. Materials and Methods Seven top-performing models in the RSNA 2022 Cervical Spine Fracture Detection challenge were retrospectively evaluated on a clinical test set of 1828 CT scans (from 1829 series: 130 positive for fracture, 1699 negative for fracture; 1308 noncontrast, 521 contrast enhanced) from 1779 patients (mean age, 55.8 years ± 22.