Navigating the Implementation of AI in Intensive Care Medicine
Intensive care medicine is recognised as a promising field for implementing artificial intelligence (AI) due to the abundance of data generated in intensive care units (I
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Decision-making in the ICU is a multifaceted process that involves clinical assessment, collaboration among multidisciplinary teams, ethical considerations, evidence-based practice, communication, and continuous adaptation to evolving clinical scenarios. Balancing the complex factors requires
READ MOREWhen the stakes are high, and the path ahead is uncertain, the decisions made, especially if a patient continues to worsen, can be sources of self-torment and can haunt us for a long time. Our goal is to suggest ways to steer decision-making for intensivists in the face of uncertainty by prop
READ MORECOVID-19 was an emergency that lasted for years and left few regions of the world untouched. The pandemic shone a spotlight on both the strengths and weaknesses of our disaster planning. What worked, what did not, and how can we better plan for future emergencies? The COVID-19 pandemic fo
READ MOREIntensive care medicine is recognised as a promising field for implementing artificial intelligence (AI) due to the abundance of data generated in intensive care units (I
The increasing availability of complex health data, coupled with advancing computational capabilities, offers an opportunity to define health and disease states with greater clari
Hyperglycaemia is common in critically ill patients and can lead to increased morbidity and mortality. While intensive insulin therapy (INT) has shown benefits in specific researc
The heterogeneity of acute respiratory distress syndrome (ARDS) has played a role in hindering successful pharmacotherapy in clinical trials. To address this, researchers