Latest AI and machine learning research in anesthesiology for healthcare professionals.
Point-of-care (POC) devices have grown in popularity due to their ease of use, low cost, and speedy ...
BACKGROUND: Photoplethysmography has been used to assess vital signs since the late 19th century. Re...
PURPOSE OF REVIEW: Although effective patient safety education is critical to reducing medical error...
This Perspective article explores the transformative role of artificial intelligence (AI) in predict...
Hypnosis, traditionally studied as a psychological phenomenon, is increasingly explored through elec...
Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...
Criteria to identify patients who are ready to be liberated from mechanical ventilation (MV) are imp...
Perioperative neurocognitive disorders (PND) are linked to neuroinflammation, a key factor in hypert...
BACKGROUND: High intraoperative blood pressure variability (HIBPV) is significantly associated with ...
BACKGROUND: Neonatal activity level is an important physiological parameter linked to lethargic resp...
Subanesthetic doses of ketamine produce complex neuropsychiatric effects, which include rapid psycho...
Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals detected ubiquitously ...
The study aimed to establish and validate a nomogram model to predict postoperative delirium (POD) a...
BACKGROUND: The efficacy of medical cannabis in alleviating pain has been demonstrated in clinical t...
Postoperative cognitive dysfunction (POCD) is a common neurological complication after surgery, with...
BACKGROUND: Perioperative education is crucial for optimizing outcomes in neuroendovascular procedur...
BACKGROUND: Magnetic resonance imaging (MRI) is crucial in pediatric radiology; however, the prolong...
Nasal bone fractures represent the most common facial skeletal injury, challenging both function and...