Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Accurate estimation of in-hospital mortality based on patients' physiological time series data impro...
Acute exacerbation chronic obstructive pulmonary disease (AECOPD) is associated with significant poo...
Self-removal of urinary catheter as an option after robot-assisted radical prostatectomy (RARP) has ...
The use of robots in donor nephrectomy has increased in recent years. However, whether robot-assiste...
Emergency department (ED) triage scale determines the priority of patient care and foretells the pro...
: Multiple factors are associated with postoperative functional outcomes, such as acute kidney injur...
An electronic health record (EHR) is a vital high-dimensional part of medical concepts. Discovering ...
Artificial intelligence (AI) promises to revolutionize many fields, but its clinical implementation ...
The COVID-19 pandemic has changed the lives of many people around the world. Based on the available ...
Robotic-assisted surgery (RAS) has a variety of theoretical advantages, including tremor filtration,...
PURPOSE: As of March 2023, the number of patients with COVID-19 worldwide is declining, but the earl...
BACKGROUND: Rising workflow pressures within the oesophageal cancer (OC) multidisciplinary team (MDT...
Since the beginning of the COVID-19 pandemic, new and non-invasive digital technologies such as arti...
BACKGROUND: Unintentional injury is the leading cause of death in young children. Emergency departme...
Single-port (SP) robot-assisted laparoscopic partial nephrectomy (RAPN) is a promising new technique...
Interest in home-based stroke rehabilitation mechatronics, which includes both robots and sensor mec...
Robot-assisted partial nephrectomy (RAPN) is increasingly being used for the complex surgical manage...
PURPOSE: Inpatient mortality is an important variable in epidemiology studies using claims data. In ...
Robot-assisted laparoscopy (RALP), conventional laparoscopy (LP), and balloon dilation (BD) have al...
Predicting clinical deterioration in COVID-19 patients remains a challenging task in the Emergency D...
A newly developed waste-to-energy system using a biomass combined energy system designed and taken i...