Latest AI and machine learning research in hospitalists for healthcare professionals.
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...
To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient out...
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-te...
INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patt...
In this study, the capabilities of classical and novel integrated machine learning models were inves...
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...
Automated interictal epileptiform discharge (IED) detection has been widely studied, with machine le...
Magnetoencephalography (MEG) is a useful tool for clinically evaluating the localization of interict...
Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. T...
This study proposes a new superior hybrid algorithm, which is the particle swarm optimization (PSO) ...
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in...
To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of...
In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the ...
Accurate estimation of mortality and time to death at admission for COVID-19 patients is important a...
Machine learning can predict outcomes and determine variables contributing to precise prediction, an...
Malnutrition is common, morbid, and often correctable, but subject to missed and delayed diagnosis. ...
Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The ob...
The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rap...
The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (I...