Latest AI and machine learning research in intensivists for healthcare professionals.
AIMS: Myocardial infarction and heart failure are major cardiovascular diseases that affect millions...
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 ...
As the development of rehabilitation medicine and critical care medicine, intensive care rehabilitat...
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). ...
Background Clinicians consider both imaging and nonimaging data when diagnosing diseases; however, c...
Background Most artificial intelligence algorithms that interpret chest radiographs are restricted t...
OBJECTIVES: Successful model development requires both an accurate a priori understanding of future ...
Predicting the risk of mortality of hospitalized patients in the ICU is essential for timely identif...
Adverse drug-drug interactions (DDIs) have become an increasingly serious problem in the medical and...
In the past half century, critical care medicine has made rapid development, and the survival rate o...
Hand hygiene is key to preventing cross-infections in the Intensive Care Unit (ICU). Monitoring of h...
Heart failure refers to the inability of the heart to pump enough amount of blood to the body. Nearl...
OBJECTIVE: In view of the important role of risk prediction models in the clinical diagnosis and tre...