Latest AI and machine learning research in head trauma for healthcare professionals.
The Expected Pass Turnovers (xPT) model advances turnover probability quantification in professional...
BACKGROUND AND PURPOSE: Contrast-enhanced volume interpolated breath-hold examination (VIBE) is comm...
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a sign...
Financial fraud detection requires screening massive transaction networks where evolving topologies,...
PURPOSE: To evaluate whether an artificial intelligence (AI)-assisted surveillance device, AUGi, imp...
PURPOSE: To develop and validate machine learning models to predict post-tonsillectomy hemorrhage. M...
Radial artery puncture, a routine arterial cannulation procedure for perioperative and critical care...
STUDY OBJECTIVE: To compare the quality of AI-generated responses to gynecologic post-operative ques...
BACKGROUND: Despite the increasing number of studies on prediction models for identifying the risk o...
Accurate estimation of the Post-Mortem Interval (PMI) and Post-Mortem Submersion Interval (PMSI) rem...
BACKGROUND: Despite recent advances, Primary Sclerosing Cholangitis (PSC)-a chronic obstructive bili...
Healthcare IoT systems increasingly rely on interconnected, resource-constrained devices that are vu...
BACKGROUND AND OBJECTIVE: Nurses are essential for safeguarding public health, and their physical co...
The post-intervention effects of non-invasive neuromodulation techniques are critical for their tran...
OBJECTIVES: Monitoring kidney function after acute kidney injury (AKI) hospitalisation is essential ...
Heart failure (HF) following myocardial infarction (MI) remains a major threat to health worldwide. ...
BackgroundPredicting post-stroke cognitive impairment (PSCI) remains challenging.ObjectiveThis study...
BACKGROUND: The application of generative artificial intelligence to simplify medication use instruc...
The use of herbal medicines is expanding rapidly worldwide, but regional regulatory systems vary gre...
Rapid and accurate localization and activity grading of Crohn's disease (CD) lesions on computed tom...
OBJECTIVE: Early and accurate prediction of neurological outcomes and mortality in comatose patients...