Latest AI and machine learning research in intensivists for healthcare professionals.
This study aimed to develop a mapping table that connects nursing notes with standard terminology, f...
Traffic allocation is a process of redistributing natural traffic to products by adjusting their p...
In the intensive care unit, the capability to predict the need for mechanical ventilation (MV) fac...
In recent years, healthcare professionals are increasingly emphasizing on personalized and evidenc...
This integrated study combines bioinformatics, machine learning, and Mendelian randomization (MR) to...
The modeling of users' behaviors is crucial in modern recommendation systems. A lot of research fo...
Understanding the neural mechanisms underlying the transitions between different states of conscio...
We applied machine learning to the unmet medical need of rapid and accurate diagnosis and prognosi...
Patients in the ICU frequently suffer from delirium, which can delay their recovery and may cause si...
Shoulder dislocations are the most common dislocations and there is a demand for a novel traction de...
AIMS: Myocardial infarction and heart failure are major cardiovascular diseases that affect millions...
Multimodal Large Language Models (MLLMs) harness comprehensive knowledge spanning text, images, an...
Automated retinal image medical description generation is crucial for streamlining medical diagnos...
OBJECTIVE: To evaluate the clinical practice of intensive care unit (ICU) physicians at Hebei Genera...
We have developed a time-oriented machine-learning tool to predict the binary decision of administer...
Nowadays, healthcare systems increasingly utilize automated surveillance of electronic medical recor...
Blood pressure variability (BPV) plays a critical role in vascular diseases, particularly in acute i...
In clinical settings, domain experts sometimes disagree on optimal treatment actions. These "decisio...
Gastric cancer (GC) is a highly intricate gastrointestinal malignancy. Early detection of gastric ca...
BACKGROUND: Early identification of sepsis has been shown to significantly improve patient prognosis...
BACKGROUND: Pulmonary embolism (PE) patients combined with heart failure (HF) have been reported to ...