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A pioneering study analyzes the emotional and physical state of patients in the ICU on a daily basis
 A pioneering study analyzes the emotional and physical state of patients in the ICU on a daily basis 1080 608 Mireia Córcoles
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Patient monitoring shows that sadness is the most persistent emotion during the ICU stay, ahead of anxiety, and is closely related to clinical factors such as mechanical ventilation. read more
Can artificial intelligence outperform experts in mechanical ventilation?
 Can artificial intelligence outperform experts in mechanical ventilation? 1080 617 I3PT communication
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I3PT team demonstrates the potential of language models to accelerate the creation of vital diagnostic tools read more
An international study reveals serious shortcomings in sepsis care in hospitals
 An international study reveals serious shortcomings in sepsis care in hospitals 1080 608 Mireia Córcoles
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The work highlights critical gaps in the detection and management of sepsis in European hospitals—a disease that causes 11 million deaths a year worldwide, equivalent to 20% of all deaths. read more
The ACMECat project is launched to improve the diagnosis of tissue hypoxia in critically ill patients
 The ACMECat project is launched to improve the diagnosis of tissue hypoxia in critically ill patients 1080 608 Oriol Capell
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The study combines the analysis of blood markers, which reflect the metabolic state of the tissues, with the direct monitoring of cardiac function using invasive catheters read more
Tesai Care launches a pioneering clinical trial with heecap to prevent respiratory muscle atrophy in mechanically ventilated patients
Tesai Care launches a pioneering clinical trial with heecap to prevent respiratory muscle atrophy in mechanically ventilated patients 1080 608 Mireia Córcoles
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It is a unique treatment strategy in the healthcare field, based on non-invasive electrical stimulation to maintain the strength of respiratory muscles in patients requiring mechanical ventilation support read more
I3PT develops an artificial intelligence model to diagnose flow asynchrony in critically ill patients
 I3PT develops an artificial intelligence model to diagnose flow asynchrony in critically ill patients 1080 608 Oriol Capell
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Its implementation will make it possible to detect and classify in time a type of asynchrony that is very damaging to the lung and is currently underdiagnosed read more
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