Critical care medicine
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Critical care medicine · Feb 2024
Multicenter StudyDeep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.
We aimed to develop a computer-aided detection (CAD) system to localize and detect the malposition of endotracheal tubes (ETTs) on portable supine chest radiographs (CXRs). ⋯ The derived CAD system could localize ETT and detect ETT malposition with excellent performance, especially for endobronchial intubation, and with favorable potential for external generalizability.
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Critical care medicine · Feb 2024
Does Reinforcement Learning Improve Outcomes for Critically Ill Patients? A Systematic Review and Level-of-Readiness Assessment.
Reinforcement learning (RL) is a machine learning technique uniquely effective at sequential decision-making, which makes it potentially relevant to ICU treatment challenges. We set out to systematically review, assess level-of-readiness and meta-analyze the effect of RL on outcomes for critically ill patients. ⋯ In this first systematic review on the application of RL in intensive care medicine we found no studies that demonstrated improved patient outcomes from RL-based technologies. All studies reported that RL-agent policies outperformed clinician policies, but such assessments were all based on retrospective off-policy evaluation.
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Critical care medicine · Feb 2024
Observational StudyAssessment of the Readability of the Online Patient Education Materials of Intensive and Critical Care Societies.
This study aimed to evaluate the readability of patient education materials (PEMs) on websites of intensive and critical care societies. ⋯ Compared with the sixth-grade level recommended by the American Medical Association and the National Institutes of Health, the readability of PEMs in intensive and critical care societies is relatively high. PEMs in intensive and critical care societies should be prepared with attention to recommendations on readability.
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To identify research priorities in the management, epidemiology, outcome, and pathophysiology of sepsis and septic shock. ⋯ Knowledge advances in multiple clinical domains have been incorporated in progressive iterations of the Surviving Sepsis Campaign guidelines, allowing for evidence-based recommendations for short- and long-term management of sepsis. However, the strength of existing evidence is modest with significant knowledge gaps and mortality from sepsis remains high. The priorities identified represent a roadmap for research in sepsis and septic shock.