Latest AI and machine learning research in clinical trials for healthcare professionals.
OBJECTIVES: Recruitment maneuvers (RMs) during invasive mechanical ventilation (IMV) for acute hypoxemic respiratory failure are not characterized in pediatrics. We aimed 1) to describe changes in oxygenation, dynamic compliance, and outcome related to RMs; and 2) to identify which patients may benefit from RMs using machine learning. DESIGN: Single center, retrospective cohort study, 2016-2023. S...
We conducted research showing that chronic disease management continued to challenge healthcare systems, payers, and patients. At the same time, digital therapeutics emerged as a promising and potentially transformative approach. They supported better management of long-term conditions, improved patient outcomes, and helped streamline healthcare delivery. We carried out a comprehensive literature ...
Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...
The swift progress of digital and sensor technologies is hastening the incorporation of remote monitoring into anesthesiology. While several reviews h...
Cardiovascular imaging is integral to modern clinical trials of new pharmaceuticals or devices, enabling refined eligibility, mechanistic insight, and...
OBJECTIVES: To use patient characteristics to estimate individualized treatment effects (ITE) of hypothermia vs. normothermia after pediatric cardiac ...
PURPOSE OF REVIEW: Cardio-oncology has emerged as a pivotal discipline aimed at preserving cardiovascular health in patients undergoing contemporary c...
The prevalent cross-departmental data barriers and ineffective public safety risk management and control in smart city construction severely restrict ...
RATIONALE: The host immune determinants that distinguish protective from life-threatening responses to influenza are poorly understood. Identifying dr...
IMPORTANCE: Understanding how upper extremity (UE) robotic therapy (RT) affects efficiency and effectiveness of inpatient rehabilitation is important ...
BACKGROUND: Artificial intelligence (AI)-enabled decision support systems are increasingly used in emergency departments and intensive care units to s...
FUNDING: Funding (NIH #1OT2OD037972-01). OBJECTIVE: Artificial intelligence (AI) may enhance the efficiency and personalization of breast cancer (BC) ...
BACKGROUND: Large language models (LLMs) are an application of artificial intelligence and generate responses to user inquiries that vary in accuracy ...
BACKGROUND: Global aging and health care workforce shortages are increasing demand for therapeutic support among older adult and pediatric populations...
BACKGROUND: Emergency department triage is commonly conceptualised as a standardised classification of patient urgency based on vital signs and presen...
BACKGROUND: Many circulating biomarkers are assessed at different time intervals during clinical studies. Despite of the success of standard joint mod...
BackgroundCivil aviation cargo operations have expanded rapidly, but the occupational health and safety risks faced by cargo workers are still rarely ...
Autosomal dominant polycystic kidney disease (ADPKD) is the most common genetic kidney disorder leading to kidney failure. Recent advancements in arti...
Background: Crisis lines provide evidence-based suicide prevention support that often involves active listening, safety assessment, collaborative prob...
AI is a medical education tool, yet its potential to foster morphologic reasoning remains underexplored. Histology students often struggle to move bey...