Latest AI and machine learning research in infection control for healthcare professionals.
BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysreg...
BACKGROUND: Large language model (LLM) artificial intelligence (AI) tools have the potential to stre...
BACKGROUND: Chronic pain is a complex condition that affects more than a quarter of people worldwide...
BACKGROUND: Accurately predicting hospital admissions from the emergency department (ED) is essentia...
BACKGROUND: The time a patient spends in the hospital from admission to discharge is known as the le...
Malignant pleural effusion (MPE) is a common complication in patients with advanced lung cancer, sig...
BACKGROUND: To evaluate the predictive utility of machine learning and nomogram in predicting in-hos...
PURPOSE: This study aimed to develop and validate a novel web-based calculator using machine learnin...
Cardiac arrest (CA) poses a significant global health challenge and often results in poor prognosis....
BACKGROUND: Timely and accurate outcome prediction is essential for clinical decision-making for isc...
BACKGROUND: Machine learning (ML) models have been constructed to predict the risk of in-hospital mo...
BACKGROUND: Electronic medical records (EMRs) have undergone significant changes due to advancements...
GOAL: Efficient patient flow is critical at Tampa General Hospital (TGH), a large academic tertiary ...
Whole-body bone scan (WBS) is usually used as the effective diagnostic method for early-stage and co...
OBJECTIVE: We aim to develop and validate an interpretable machine-learning model that can provide c...
BACKGROUND: Emergency and acute medicine doctors require easily accessible evidence-based informatio...
BACKGROUND: The 30-day hospital readmission rate is a key indicator of healthcare quality and system...
Identifying tissue infections from the body still poses an unprecedented challenge in society. Conve...
Machine learning (ML) offers precise predictions and could improve patient care, potentially replaci...
In recent decades, technological shifts within the healthcare sector have significantly transformed ...
Radiologists are prone to missing some colorectal cancers (CRCs) on routine abdominopelvic CT exami...