Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Although robotic telesurgery is growing in popularity, the benefits of telesurgery compared to local...
As two important textual modalities in electronic health records (EHR), both structured data (clinic...
BACKGROUND: Early identification of hand-prognosis-factors at patient's admission could help to sele...
Robot-assisted partial nephrectomy (RAPN) has traditionally been performed as an inpatient procedur...
The aim of this study is to report our experience in minimally invasive management of rectovesical ...
The length of stay (LOS) in hospital is one of the main parameters for evaluating the management of ...
A 50-year-old man with muscle-invasive bladder cancer was scheduled for a robotic radical cystectomy...
We investigate the different roles played by nodes' network and non-network attributes in explaining...
In recent years, data have become the main driver of medical innovation. With increased availability...
Robot-assisted gait training (RAGT) provides a task-based support of walking using exoskeletons. Evi...
OBJECTIVE: To identify patient, perioperative, and hospital factors that drive total hospital charge...
BACKGROUND: Physical trauma-related mortality places a heavy burden on society. Estimating the morta...
To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...
BACKGROUND: The Ambient Intelligent Geriatric Management (AmbIGeM) system combines wearable sensors ...
BACKGROUND: The treatment and care of adults and children with traumatic brain injury (TBI) constitu...
In a hospital, accurate and rapid mortality prediction of Length of Stay (LOS) is essential since it...
BACKGROUND: The debate of whether to centralize hepato-pancreato-biliary surgery has been ongoing. T...
Biorefinery systems are playing pivotal roles in the technological support of resource efficiency fo...
To confirm whether machine learning algorithms (MLA) can achieve an effective risk stratification of...
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient out...
The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and ri...