Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Thoracolaparoscopic esophagectomy (TLE) for carcinoma esophagus has better short-term outcomes compa...
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) h...
This study aimed to develop a machine learning algorithm to identify key clinical measures to triag...
Health insurance and acute hospital-based claims have recently become available as real-world data a...
BACKGROUND: Mortality prediction is an important task to achieve smart healthcare, especially for th...
BACKGROUND: Predicting early respiratory failure due to COVID-19 can help triage patients to higher ...
To assess whether the timing of post-operative Phosphodiesterase Inhibitor (PDE5i) therapy after Rob...
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective...
In recent years, deep learning-based image analysis methods have been widely applied in computer-aid...
We hypothesized that imaging-only-based machine learning algorithms can analyze non-enhanced CT scan...
Chronic obstructive pulmonary disease (COPD) is a global burden, which is estimated to be the third ...
BACKGROUND: Regaining gait capacity is an important rehabilitation goal post stroke. Compared to cli...
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that ma...
Risk assessment of in-hospital mortality of patients at the time of hospitalization is necessary for...
BACKGROUND AND PURPOSE: The importance of environmental factors for stroke patients to achieve home ...
IMPORTANCE: The Undiagnosed Diseases Network (UDN) is a national network that evaluates individual p...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
BACKGROUND: Early and accurate evaluation of severity and prognosis in acute pancreatitis (AP), espe...
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (...
Remote Patient Monitoring (RPM) has gained great popularity with an aim to measure vital signs and g...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...