Latest AI and machine learning research in sepsis for healthcare professionals.
OBJECTIVE: The rising incidence of Mycobacterium avium (MAV) infection poses significant challenges ...
The stable structure of biofilms and the characteristics of the bacteria within them make biofilms a...
Critically ill patients frequently require multiple concurrent interventions with complex interdepen...
In 2021, Maccabi Healthcare Services (MHS) introduced "UTI Smart-Set" (UTIS), an AI-driven decision ...
PURPOSE OF REVIEW: Generative artificial intelligence, particularly large language models, has emerg...
Pathogenic antibiotic-resistant bacteria (PARB) pose a serious public health threat within the One H...
BACKGROUND: Sepsis patients face a high mortality risk. Available prognostic biomarkers have certain...
BACKGROUND: Iron accumulation in the substantia nigra (SN) is a hallmark of Parkinson's disease (PD)...
BACKGROUND: Large language models (LLMs) have potential to provide clinical infection advice, but va...
BACKGROUND: Early detection of sepsis in pediatric intensive care units (PICUs) is critical, but cha...
BACKGROUND: Identifying communities disproportionately affected by hepatitis C infection is essentia...
BACKGROUND: Accurate preoperative risk stratification remains challenging, as existing scoring syste...
The dopamine D2 receptor (DRD2) is a key therapeutic target for several neuropsychiatric disorders, ...
Antibiotic-resistant bacterial infections continue to increase globally, creating an urgent need for...
In this paper, a dynamic epidemic model of botnet attack propagation in scale-free networks is intro...
BACKGROUND: Prostate cancer (PCa) is characterized by pronounced intratumoral heterogeneity and mult...
Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) data c...
BACKGROUND: Pecan scab (Venturia effusa) is a devastating fungal disease affecting commercial pecan ...
BACKGROUND: Sepsis-induced ARDS demonstrated greater severity and higher mortality compared to ARDS ...
The aim of this study is to develop and validate a machine learning-based predictive model to assess...
BACKGROUND: Delirium is a frequent manifestation of acute brain dysfunction in critically ill patien...