Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The application and evolution of total endoscopic robotic cardiac surgery (TERCS) has become greater...
AIMS: Machine learning (ML) is widely believed to be able to learn complex hidden interactions from ...
Children with cerebral palsy have difficulty to sit, stand, walk, run and jump independently. Thera...
Ankle fractures are common orthopedic injuries with favorable outcomes when managed with open reduct...
Traditional methods for assessing illness severity and predicting in-hospital mortality among critic...
Widely-prescribed prodrug opioids (e.g., hydrocodone) require conversion by liver enzyme CYP-2D6 to ...
BACKGROUND: Identification of individuals at increased risk for suicide is an important public healt...
OBJECTIVE: The In-hospital length of stay (LOS) is expected to increase as cardiovascular diseases c...
Dementia is a neurological and cognitive condition that affects millions of people around the world....
BACKGROUND: Value-based payment programs in orthopedics, specifically primary total hip arthroplasty...
Amelogenesis imperfecta (AI) is typically associated with anterior open bite and a number of other d...
In BriefAuthors of this study analyzed hospital readmissions following laminectomy and developed pre...
Prescription information is an important component of electronic health records (EHRs). This informa...
Despite the increasing prevalence, growing costs, and high mortality of dementia in older adults in ...
OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating M...
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to e...
We compare the performance of logistic regression with several alternative machine learning methods ...
OBJECTIVES: Pediatric asthma is a leading cause of emergency department (ED) utilization and hospita...
Primary psychogenic polydipsia (PPD) is a chronic, relapsing condition in which there is a disturban...
OBJECTIVE: To further develop and refine an Emergency Department (ED) in-patient admission predictio...
Hospital traditional cost accounting systems have inherent limitations that restrict their usefulnes...