Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
AIM: Feasibility and reliability evaluation of 5G internet networks (5G IN) upon Artificial Intellig...
Emergency department (ED) overcrowding is a complex problem that is intricately linked with the oper...
This study introduces a novel approach for generating machine-generated instruction datasets for fin...
Developing novel predictive models with complex biomedical information is challenging due to various...
Patients who do not show up for scheduled appointments are a considerable cost and concern in health...
BACKGROUND: Older adults (≥65 years) account for a disproportionately high proportion of hospitaliza...
This study investigates how to reduce nurses' repetitive electronic nursing record tasks. We applied...
To construct a robot intelligent discharge follow-up platform and explore its application effects in...
As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a r...
Interictal epileptiform discharges (IEDs) are electrophysiological events that intermittently occur ...
During a patient's hospitalization, extensive information is documented in clinical notes. The effic...
Interictal epileptic discharge (IED) detection from electroencephalography (EEG) is an important but...
Healthcare-associated infections resulting from cross-contamination, particularly from the hands of ...
BACKGROUND: Artificial intelligence (AI) is the simulation of human intelligence processes by machin...
Artificial intelligence is a broad concept that includes the study of the ability of computers to pe...
Artificial intelligence (AI) is a broad concept that includes the study of the ability of computers ...
The Radiological Society of North of America (RSNA) and the Medical Image Computing and Computer Ass...
AIMS: To assess the predictive value of early-stage physiological time-series (PTS) data and non-int...
The ongoing growth of artificial intelligence (AI) involves virtually every aspect of oncologic care...
OBJECTIVE: To predict the risk of in-hospital death in patients with chronic heart failure (CHF) com...