Latest AI and machine learning research in critical care for healthcare professionals.
BackgroundIntensive care unit (ICU) hospitalizations of very old patients with acute respiratory inf...
Whole slide images (WSI), due to their gigabyte-scale size and ultra-high resolution, play a signifi...
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host r...
OBJECTIVES: Achieving efficient analysis of multiple pathological indicators has great significance ...
The prediction of Intensive Care Unit (ICU) readmission has become a crucial area of research due to...
Background: In the field of bibliometrics, although some studies have conducted literature reviews a...
Most conventional crash severity models attempt to achieve a low classification error rate, implicit...
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with m...
BACKGROUND: Distinguishing between productive (wet) and non-productive (dry) cough types is importan...
A machine learning integrated SERS sensing platform is developed for a single-shot, receptor-free, r...
Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two m...
Effective visual representation is crucial for image captioning task. Among the existing methods, th...
Benefiting from the booming development of Transformer methods, the performance of lane detection ta...
In real-world scenarios, multi-view multi-label learning often encounters the challenge of incomplet...
Land use and land cover (LULC) classification is a popular research area in remote sensing. The info...
Distributed machine learning in mobile adhoc networks faces significant challenges due to the limite...
Background: Age and comorbidity significantly impact the prognosis of septic patients and inform tre...
Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged cours...
Heterotopic ossification (HO) is a pathological process where bone forms in extraskeletal tissues, o...
Multi-task learning (MTL) has demonstrated significant advantages in the field of physiological sign...
: Effective lung gas exchange relies on the balance between alveolar ventilation and perfusion, whic...