Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: Prognostication of neurological outcome in patients who remain comatose after cardiac ar...
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...
Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous monitoring is nec...
PURPOSE: The aim of the study was to develop and validate machine learning models to predict the per...
BACKGROUND: Acute kidney injury is common in the surgical intensive care unit (ICU). It is associate...
A complicated clinical course for critically ill patients admitted to the intensive care unit (ICU) ...
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...
Early detection of sepsis can be life-saving. Machine learning models have shown great promise in ea...
Health insurance and acute hospital-based claims have recently become available as real-world data a...
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers ...
BACKGROUND: Mortality prediction is an important task to achieve smart healthcare, especially for th...
Patient safety and efficiency are top priorities in any surgical procedure. One effective way to ach...
The global COVID-19 pandemic due to the novel coronavirus SARS-CoV-2 has challenged the availability...
The robotic platform is becoming a multidisciplinary tool, versatile, and suitable for multiple proc...
The prediction of hospital emergency room visits (ERV) for respiratory diseases after the outbreak o...
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...