Latest AI and machine learning research in critical care for healthcare professionals.
The extraction of bioactive compounds from medicinal plants is a crucial process in pharmaceutical a...
The preservation of lean mass (LM) and its restoration following catabolic loss represents a primary...
Electromyography (EMG) electrodes are critical for detecting and interpreting muscle activity, which...
BACKGROUND: T2-weighted imaging (T2WI) of the liver suffers from prolonged scan times and respirator...
OBJECTIVE: Retropharyngeal edema (RPE) on MRI in patients with acute neck infection is associated wi...
BACKGROUND: The global prevalence of type 2 diabetes mellitus (T2DM) poses significant challenges du...
ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users...
BACKGROUND: 4D flow MRI facilitates quantification of cardiac phase-resolved blood velocity vector f...
BACKGROUND: Sepsis, a life-threatening condition driven by a dysregulated host response, poses signi...
BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and li...
This study explores strategies to guide the generation of polyimides with high glass transition temp...
BACKGROUND: The integration of deep learning in medical imaging has reached proficiency levels akin ...
OBJECTIVES: This study identifies predictors of severe COVID-19 following completion of two-dose pri...
Respiratory rate (RR) is a key indicator for assessing health conditions, yet noncontact measurement...
BACKGROUND: Colorectal cancer (CRC) remains a leading cause of global cancer mortality, highlighting...
BACKGROUND: Patients readmitted to the surgical intensive care unit (SICU) face a high risk of morta...
Patient-ventilator asynchrony is highly prevalent during invasive mechanical ventilation, yet its de...
OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopul...
Cardiopulmonary exercise testing (CPET) provides a comprehensive assessment of functional capacity b...
PURPOSE: Frailty is increasingly recognized as a predictor of poor surgical outcomes, yet its preope...
BACKGROUND: With prolonged waiting times for deceased-donor kidney transplantation (DDKT) in Japan, ...