AIMC Topic: Carbon Dioxide
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Respiratory gas exchange during robotic-assisted laparoscopic radical prostatectomy.
Journal of clinical anesthesia
Jul 3, 2015
STUDY OBJECTIVE: Robotic-assisted laparoscopic prostatectomy requires patients to be secured in a steep Trendelenburg position for several hours. Added to the CO2 pneumoperitoneum that is created, this positioning invariably restricts diaphragmatic a...
Influence of pneumoperitoneum pressure on surgical field during robotic and laparoscopic surgery: a comparative study.
Archives of gynecology and obstetrics
Sep 27, 2014
PURPOSE: Studies on the influence of CO₂ pneumoperitoneum on the abdominal cavity during robotic procedures are lacking. This is the first study to evaluate surgical field modifications related to CO₂ pressure, during laparoscopic and robotic surgery...
The effects of environmental and compositional manipulations on the longevity of Tessari-made foam for sclerotherapy.
Journal of vascular surgery. Venous and lymphatic disorders
Sep 4, 2014
BACKGROUND: Tessari-made foam sclerotherapy is performed around the world in a variety of clinics differing in methods, equipment, temperatures, and altitudes. We investigated how the following factors affected the foam's longevity: silicone vs nonsi...
Machine learning-based prediction of ambient CO and CH concentrations with high temporal resolution in Seoul metropolitan area.
Environmental pollution (Barking, Essex : 1987)
Jul 1, 2025
Machine learning has the potential to support the growing need for high-resolution greenhouse gas monitoring in urban and industrial environments, where deploying extensive sensor networks is often limited by cost and operational challenges. This stu...
Predicting the solubility of drugs in supercritical carbon dioxide using machine learning and atomic contribution.
European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
Jun 1, 2025
The pharmaceutical sector is aware of supercritical CO (SC-CO) as a possible replacement for problematic organic solvents. Using a novel artificial intelligence (AI) strategy to predict drug solubility using the SC-CO system mathematically has been d...
Discovering Ultra-Stable Metal-Organic Frameworks for CO Capture from A Wet Flue Gas: Integrating Machine Learning and Molecular Simulation.
Environmental science & technology
May 13, 2025
The rapid increase in atmospheric CO, arising from anthropogenic sources, has posed a severe threat to global climate and raised widespread environmental concern. Metal-organic frameworks (MOFs) are promising adsorbents to potentially reduce CO emiss...
Will AI accelerate or delay the race to net-zero emissions?
Nature
Apr 1, 2024
Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.
American journal of respiratory and critical care medicine
Oct 1, 2020
Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical outcomes and responses to randomly assigned treatment have consistently been identified in randomized controlled trial cohorts using latent class analys...
Serum Albumin
Mortality
Bicarbonates
Leukocyte Count
Bilirubin
Pulmonary Ventilation
Vital Signs
Receptors, Tumor Necrosis Factor, Type I
Partial Pressure
Protein C
Oxygen
Intercellular Adhesion Molecule-1
Creatinine
Vasoconstrictor Agents
Carbon Dioxide
Plasminogen Activator Inhibitor 1
Machine Learning
Platelet Count
Tidal Volume
Phenotype
Blood Pressure
Interleukin-6
Age Factors
Area Under Curve
Prognosis
Respiratory Distress Syndrome
Interleukin-8
Biomarkers, Tumor
Randomized Controlled Trials as Topic
Latent Class Analysis
Inflammation
Humans
Quantification of Carbon Dioxide Removal at Low Sweep Gas and Blood Flows.
The journal of extra-corporeal technology
Dec 1, 2017
Advancement in oxygenator membrane technology has further expanded the boundaries in the clinical application of extracorporeal carbon dioxide removal (ECCOR). Despite the advent of modern poly-4-methyl-1-pentene (PMP) membranes, limited information ...
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