AIMC Journal:
Journal of intensive care

Showing 1 to 6 of 6 articles

Development and validation of VentPilot: an AI-based recommendation system for mechanical ventilation.

Journal of intensive care
BACKGROUND: Mechanical ventilation requires repeated adjustment to changing patient physiology, but consistent individualized management remains challenging. We developed VentPilot, an artificial intelligence-based system for recommending ventilator ...
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Analysis of the pulmonary microbiome in ARDS patients using bronchoalveolar lavage fluid metagenomic next-generation sequencing: a retrospective observational study.

Journal of intensive care
BACKGROUND: Acute respiratory distress syndrome (ARDS) exhibits significant clinical heterogeneity, with inflammatory subphenotypes (hypoinflammatory and hyperinflammatory) representing a key axis for precision medicine. The role of the pulmonary mic...

Physician-revised AI-generated drafts are associated with higher ratings of written explanations in end-of-life care in the intensive care unit: a scenario-based single-center cross-sectional study.

Journal of intensive care
BACKGROUND: In end-of-life care (EOL) in the intensive care unit (ICU), intensivists are expected to provide medically appropriate and empathetic communication to support shared decision-making with patients and their families. Large language models ...

Development of a deep-learning model for classification of intensivists' extubation decisions using ventilator graphic monitor images: a prospective observational study.

Journal of intensive care
BACKGROUND: Timely extubation requires advanced expertise and extensive clinical experience; however, intensive care specialists are scarce globally, and interpreting ventilator graphic monitor waveforms can be challenging for less experienced health...

Computed tomography in ARDS, from morphological insights to AI-powered multi-modal analysis: a narrative review.

Journal of intensive care
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a critical clinical condition characterized by acute respiratory failure and high mortality. It poses considerable challenges in both diagnosis and management. Imaging constitutes a central el...

Prediction of high-flow nasal cannula failure in critically ill patients: a narrative review.

Journal of intensive care
High-flow nasal cannula (HFNC) therapy is widely used for respiratory support in critically ill patients, offering benefits such as improved oxygenation and reduced respiratory rate. However, HFNC failure can lead to adverse outcomes, including incre...