Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Open transthoracic esophagectomy is the worldwide gold standard in the treatment of rese...
UNLABELLED: The aim of the study was to compare the intubation times and success rates of various la...
BACKGROUND: Idiopathic pulmonary fibrosis is a progressive fibrotic lung disease that distorts pulmo...
OBJECTIVE: Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical...
Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...
OBJECTIVE: The primary objective was to assess the warming sensation caused by IFF Flavour 316282 in...
Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of applica...
The accuracy of the CyberKnife Synchrony Respiratory Tracking System (SRTS) is considered to be pati...
BACKGROUND: Improved mortality prediction for patients in intensive care units is a big challenge. M...
Understanding the processes of mitochondrial dynamics (fission, fusion, biogenesis, and mitophagy) h...
This work presents a detailed framework to detect the location of heart sound within the respiratory...
Plasma procalcitonin (PCT) is a highly specific marker for the diagnosis of bacterial infection and ...
Personalized oncology treatment recommendation is a critical clinical task that requires in-tegratin...
Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital m...
Introduction: Regulated cell death (RCD) pathways profoundly influence tumor progression and immune ...
Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are as...
Background: Clinical LLM benchmarks rarely test whether algorithmic rankings agree with expert clini...
Background: Multi-drug resistant Bacterial (MDRB) Infections in the intensive care units (ICUs) subs...
T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive pediatric malignancy characterized b...
Understanding the effects of interventions is central to scientific progress, with randomized contro...
Early prediction of respiratory failure is critical for timely clinical intervention in intensive ca...