Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Acute bronchiolitis is one of the most common respiratory infections in infancy. Although most infa...
Robot-assisted stereoelectroencephalography (sEEG) is frequently employed to localize epileptogenic ...
Unsupervised pretraining is an integral part of many natural language processing systems, and transf...
BACKGROUND: Reverse total shoulder arthroplasty (rTSA) offers tremendous promise for the treatment o...
Length of stay (LOS) estimates are important for patients, doctors and hospital administrators. Howe...
The COVID-19 pandemic is impressively challenging the healthcare system. Several prognostic models h...
OBJECTIVE: This research aimed to explore the application of a mathematical model based on deep lear...
OBJECTIVE: To analyze the feasibility of a same day discharge protocol following single-port (SP) ro...
: Exoskeleton-robot-assisted therapy is known to positively affect the recovery of arm functions in ...
A massive amount of multimodal data are continuously collected in the intensive care unit (ICU) alon...
OBJECTIVE: Gabapentinoids (GPT) are reported to be increasingly misused by opioid- and polydrug-user...
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development,...
: This study aimed to investigate whether predictive indicators for the deterioration of respiratory...
PURPOSE: To assess the generalisability and performance of a deep learning classifier for automated ...
BACKGROUND: Early unplanned hospital readmissions are associated with increased harm to patients, in...
The integration of robotics into retinal microsurgery leads to a reduction in surgeon perception of ...
BACKGROUND: Prior literature suggests that psychosocial factors adversely impact health and health c...
An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emer...
BACKGROUND: Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hos...
In medical visualization, nursing notes contain rich information about a patient's pathological cond...
Background Evaluation of interstitial lung disease (ILD) at CT is a challenging task that requires e...