Artificial Intelligence

Artificial Intelligence

NeoVault: empowering neonatal research through a neonate data hub

Abstract Background Stability during early postnatal life in preterm infants is related to better outcomes. Although vital signs are monitored continuously in Neonatal Intensive Care Unites, this monitoring does not include all physiological parameters nor data such as movement patterns. Although there are scattered sources of data, there is no centralized data hub for neonates […]

,

NeoVault: empowering neonatal research through a neonate data hub Read Post »

Artificial Intelligence, Mechanical Ventilation, Pharmacological Insights in Critical Care, Respiratory

Barotrauma: The statistical fallacy. A non-conventional scoping review with Bayesian meta-analysis

Abstract Background Mechanical ventilator-associated damage has a high relevance in the clinical outcomes of critically ill patients. Barotrauma is a colloquial premise that has not been questioned, while other concepts such as mechanotransduction based on time-dependent viscoelastic models derived from materials engineering and physics appear as a more solid and clinically plausible postulate. This scoping

,

Barotrauma: The statistical fallacy. A non-conventional scoping review with Bayesian meta-analysis Read Post »

Artificial Intelligence, Mechanical Ventilation

Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care

Abstract   With the large volume of data coming from implemented technologies and monitoring systems, intensive care units (ICUs) represent a key area for artificial intelligence (AI) application. Despite the last decade has been marked by studies focused on the use of AI in medicine, its application in mechanical ventilation management is still limited. Optimizing

,

Artificial Intelligence for Mechanical Ventilation: A Transformative Shift in Critical Care Read Post »

Scroll to Top