Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Various machine learning and artificial intelligence methods have been used to predict outcomes of hospitalized COVID-19 patients. However, process mining has not yet been used for COVID-19 prediction. We developed a process mining/deep learning approach to predict mortality among COVID-19 patients and updated the prediction in 6-h intervals during the first 72 h after hospital admissi...
Spinal cord injury (SCI) has been associated with high mortality rates. Thanks to the multidisciplinary vision and approach of SCI, including the application of new technologies in the field of neurorehabilitation, people with SCI can survive and prosper after injury. The main aim of this systematic review was to analyze the effectiveness of the combined use of VR and robotics in the treatment of ...
Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The objective of our study was to compare clinical and p...
After an attack of pancreatitis, individuals may develop metabolic sequelae (eg, new-onset diabetes) and/or pancreatic cancer. These new-onset morbidi...
Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. This study aims to further understand the profile o...
The emergence of the COVID-19 pandemic over a relatively brief interval illustrates the need for rapid data-driven approaches to facilitate clinical d...
BACKGROUND: The article addresses commercial socially assistive robots (SAR). There is evidence of the impact of SAR on older persons in institutional...
The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (INEADS) remains unknown because such data are not r...
The demand for telesurgery is rising rapidly, but robust evidence regarding the feasibility of its application in urology is still rare. From March to...
Manipulation and targeted navigation of nanobots in complex biological conditions can be achieved by chemical reactions, by applying external forces, ...
Microneedles (MNs) introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with mo...
This study was performed to prospectively compare the clinical and radiographic outcomes between robot-assisted minimally invasive transforaminal lumb...
BACKGROUND: Discharge medical notes written by physicians contain important information about the health condition of patients. Many deep learning alg...
Predicting the incidence of complex chronic conditions such as heart failure is challenging. Deep learning models applied to rich electronic health re...
The research of evaporation duct is of fundamental importance in the radar and signal communication industry. Particularly, in a real atmosphere envir...
A continuous and complete spring discharge record is critical in understanding the hydrodynamic behavior of karst aquifers and the variability of fres...
The link between schizophrenia and homicide has long been the subject of research with significant impact on mental health policy, clinical practice, ...
The timely identification of cohort participants at higher risk for attrition is important to earlier interventions and efficient use of research reso...
Due to its great creative potential for innovation and scientific discovery, inter- and multidisciplinary collaboration is being increasingly encourag...