Latest AI and machine learning research in intensivists for healthcare professionals.
Background: Large language models (LLMs) are increasingly deployed in medical contexts as patient-fa...
Alcohol Use Disorder (AUD) is a multifactorial condition with severe individual and societal impacts...
As artificial intelligence systems move toward clinical deployment, ensuring reliable prediction beh...
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS En...
Fecal microbiota transplantation (FMT) has emerged as a highly effective treatment for recurrent Clo...
Heart failure with preserved ejection fraction (HFpEF) is an increasingly common cause of morbidity ...
Safe and interpretable sequential decision-making is critical in healthcare, yet reinforcement learn...
In multi-intent intent-based networks, a single fault can trigger co-drift where multiple intents ex...
Background: Nursing documentation patterns may reflect patient acuity and clinical deterioration, ye...
Background: Inadequate data in electronic health records can create problems for clinical decision s...
Background: Large Language Models (LLMs) show promise for clinical decision support in Intensive Car...
Congenital anomalies of the kidney and urinary tract (CAKUT) are the leading cause of pediatric kidn...
Kernel methods have been extensively utilized in machine learning for classification and prediction ...
Offline Reinforcement Learning (RL) promises the recovery of optimal policies from static datasets, ...
Klebsiella pneumoniae is a major causative agent of hospital-acquired infections worldwide, contribu...
Sepsis is a heterogeneous syndrome. Identifying clinically distinct phenotypes may enable more preci...
Pain management in intensive care usually involves complex trade-offs between therapeutic goals and ...
Sepsis remains one of the most complex and heterogeneous syndromes in intensive care, characterized ...
Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pedi...
Accurate assessment of patient-ventilator interaction is critical for optimizing respiratory support...
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which ...