Doctors treating ICU patients on ventilators face a constant challenge regarding nutrition. Now, an AI system can help.
Significant predictors of VTE were APACHE II score, previous immobilization, femoral central venous catheter, and invasive mechanical ventilation. Common risk assessment models for predicting venous ...
In a recent development, researchers have created an AI-driven model capable of predicting mortality risk in sepsis patients admitted to intensive care units (ICUs). Leveraging cutting-edge ...
Mortality of critically ill cancer patients with COVID-19 is not prohibitively high. Decisions on ICU admission for these patients must be individualized taking into account the performance status of ...
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Early identification of nutrition risk in ICU patients using artificial intelligence
A new study by researchers at the Icahn School of Medicine at Mount Sinai suggests that artificial intelligence (AI) could ...
A multinational team revises the SOFA score to reflect modern organ support, validates it across diverse ICUs, and guides ...
It goes without saying that artificial intelligence (AI) continues to dominate many of the conversations around health care technology. Hospitals continue to face some of their toughest challenges ...
Intensive care unit (ICU)–acquired weakness often develops in patients who are undergoing invasive mechanical ventilation. Early active mobilization may mitigate ICU-acquired weakness, increase ...
The mortality rate for patients with systemic lupus erythematosus (SLE) was greater than one-third if they were admitted to an intensive care unit (ICU). Patients with systemic lupus erythematosus ...
Patients critically ill with COVID-19 are at exceptionally high risk for developing healthcare-associated pressure injuries (HAPrIs), and nurses and other clinicians should be extra vigilant with ...
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