Latest AI and machine learning research in infection control for healthcare professionals.
OBJECTIVES: To assess the economic impact of Artificial Intelligence (AI)-assisted stress echocardiography (SE) in the National Health Service (NHS) diagnostic pathway for coronary artery disease (CAD) using cost-effectiveness analysis and cost-consequence analysis alongside a multicenter randomized controlled trial. METHODS: This evaluation was embedded in the PROTEUS trial, a 20-hospital NHS ran...
For acute myocardial infarction (AMI) patients undergoing percutaneous coronary intervention (PCI), accurate prediction of intraoperative complications (IOCs) in AMI patients undergoing PCI is critical for timely risk stratification and clinical intervention. However, existing approaches lack a patient-indicator dual-view synergy modeling framework, leading to semantic isolation between patient an...
BACKGROUND: Response evaluation in pleural mesothelioma is challenging because its crescent growth pattern is poorly captured by diameter-based criter...
Neonatal sepsis is a leading cause of infant morbidity and mortality in low- and middle-income countries (LMICs), yet despite this, progress in the de...
Accurate timing prediction of surgery is essential for efficient operating room scheduling and ensuring patient care. This study proposes a two-layere...
OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate predi...
BACKGROUND: Effective physician-patient communication is essential for building trust and sustaining positive relationships, yet becomes increasingly ...
PURPOSE: This study addresses critical gaps in understanding hospital financial resilience during the COVID-19 pandemic by developing an AI framework ...
OBJECTIVE: To describe an exploratory initial experience with two complementary digital platforms consisting of an AI-based telemedicine system and an...
OBJECTIVES: Smoking remains a major preventable cause of lung and cardiovascular disease. This randomised controlled trial evaluated EILA, a mobile ap...
Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) data contain underutilized information beyond species id...
OBJECTIVE: The present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by usin...
BACKGROUND: Older patients with patellar fractures may be at increased risk of postoperative deep vein thrombosis (DVT) because of trauma, perioperati...
OBJECTIVE: To investigate the current status and influencing factors of social alienation in patients with enterostomy after colorectal cancer surgery...
BACKGROUND: Sepsis remains the leading cause of in-hospital deaths among children, and there is currently a lack of precise early prediction models. T...
BACKGROUND: Emergency department (ED) visits have risen in the United States, with demand for emergency care exceeding supply. Resultant ED crowding h...
BACKGROUND: Severe trauma remains a leading cause of admission to the intensive care unit. The Trauma and Injury Severity Score (TRISS) is an establis...
Machine learning (ML) offers opportunities to improve prognostication after ST-segment elevation myocardial infarction (STEMI), but real-world registr...
BACKGROUND: Chemotherapy-related toxicities often lead to unscheduled health care use and diminished quality of life. Digital health interventions, su...
Recurrent acute care visits are a common yet preventable outcome for many children with asthma. Machine learning (ML) applied to electronic medical re...