AI Reads Clinical Notes to Predict Recovery After Cardiac Arrest
A natural language processing model trained on clinical notes predicts neurologic outcome in comatose cardiac arrest survivors while exposing hidden ...
A natural language processing model trained on clinical notes predicts neurologic outcome in comatose cardiac arrest survivors while exposing hidden ...
Iranian researchers have validated the first Persian-language scale measuring ICU nurses' self-efficacy in delirium care, revealing a stark training gap ...
A new narrative review in Intensive Care Medicine examines why volatile anesthetic sedation, despite promising anti-inflammatory and lung-protective biology, failed ...
Intensive care specialists from Marseille argue that severe obesity markedly raises chest wall elastance in ARDS, distorting airway pressure interpretation ...
A small Mayo Clinic study finds that anticoagulant-free Impella purge solutions maintained device function during combined ECMO and Impella support, ...
A large retrospective analysis of intensive care records finds that adults with alcohol use disorder face significantly higher odds of ...
Researchers in Chongqing have introduced the Fluid Overload Ultrafiltration Percentage, a new metric that normalizes fluid removal to a child's ...
A retrospective study of 124 children found that daily oral care after complex cardiac surgery was associated with significantly lower ...
A multicenter Chinese validation study of 2,374 critically ill children found the Phoenix sepsis score outperformed pSOFA for predicting in-hospital ...
A multicenter Japanese cohort study of 204 brain-dead donors found that low-dose methylprednisolone, but not vasopressin, was independently associated with ...
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© 2025 Scienmag - Science Magazine