Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND AND OBJECTIVE: Acquiring comprehensive information from multi-modal medical images remain...
Medical image segmentation is pivotal in disease diagnosis and treatment. This paper presents a nove...
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making t...
BACKGROUND: Acute respiratory distress syndrome (ARDS) is a serious threat to human life. Hence, ear...
Membrane incompatibility poses significant health risks, including severe complications and potentia...
Sleep disorder detection has greatly improved with the integration of machine learning, offering enh...
BACKGROUND AND OBJECTIVE: Microbiological culture is a standard diagnostic test that takes a long ti...
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treat...
During winter months, there is increased pressure on health care systems in temperature climates due...
BACKGROUND: With increased use of thoracic paravertebral block (TPVB) in thoracic surgery, many face...
Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation t...
PURPOSE: This study evaluates the feasibility of using robotic-assisted bronchoscopy with cone beam ...
Mechanical ventilation is the process through which breathing support is provided to patients who fa...
Multi-view graph refining-based clustering (MGRC) methods aim to facilitate the clustering of data v...
Drug-drug interactions (DDIs) occur when multiple medications are co-administered, potentially leadi...
Multi-label zero-shot learning (ML-ZSL) strives to recognize all objects in an image, regardless of ...
This study aimed to develop a real-time, noninvasive hyperkalemia monitoring system for dialysis pat...
Since the malignancy of gliomas varies with their grade, classifying gliomas of different grades can...
Sequential recommendation models aim to predict the next item based on the sequence of items users i...
As education increasingly relies on data-driven methodologies, accurately predicting student perform...
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...