Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: This study aims to determine the efficacy of the use of artificial intelligence (AI) in ...
Effective representation of medical concepts is crucial for secondary analyses of electronic health ...
. Risk stratification of hypertension plays a crucial role in the treatment decisions and medication...
. Tracking tumors with multi-leaf collimators and x-ray imaging can be a cost-effective motion manag...
BACKGROUND: Timely and accurate outcome prediction is essential for clinical decision-making for isc...
Heart failure (HF) is marked by significant morbidity, mortality, and readmission rates, highlightin...
BACKGROUND: Unplanned and potentially avoidable readmission within 30Â days post discharge is a major...
Triple-Negative Breast Cancer (TNBC) is a highly aggressive subtype of breast cancer (BC) characteri...
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...
Traditional Chinese Medicine (TCM) boasts a long history and a unique diagnostic and therapeutic par...
BACKGROUND: Unplanned readmissions increase unnecessary health care costs and reduce the quality of ...
Artificial intelligence (AI) is revolutionizing epilepsy care by advancing seizure detection, enhanc...
EEG is the most powerful tool for epilepsy discharge detection in brain. Visual evaluation is hard i...
BACKGROUND: Early complications increase in-hospital stay and mortality after intestinal obstruction...
BACKGROUND: Mild acute biliary pancreatitis (MABP) presents significant clinical and economic challe...
OBJECTIVES: Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect...
BACKGROUND: The atherogenic index of plasma (AIP) is considered an important marker of atheroscleros...
OBJECTIVE: We aim to develop and validate an interpretable machine-learning model that can provide c...