Latest AI and machine learning research in critical care for healthcare professionals.
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...
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers ...
Exponential growth of biomedical literature and clinical data demands more robust yet precise comput...
Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity...
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 ...
The new coronavirus disease (COVID-19) is a challenge for clinical decision-making and the effective...
BACKGROUND: Clinical risk scores and machine learning models based on routine laboratory values coul...
BACKGROUND: Timely identification of patients at a high risk of clinical deterioration is key to pri...
COVID-19 is a newly emerging infectious disease, which is generally susceptible to human beings and ...
Digital reconstruction of neuronal structures is very important to neuroscience research. Many exist...
The new coronavirus, which began to be called SARS-CoV-2, is a single-stranded RNA beta coronavirus,...
The problem of the automatic determination of the first and second ventilatory thresholds (VT1 and V...
Sepsis is a leading cause of death in hospitals. Early prediction and diagnosis of sepsis, which is ...
Modern neurophysiology research requires the interrogation of high-dimensionality data sets. Machine...
Deep learning models are increasingly studied in the field of critical care. However, due to the lac...
The potential of Reinforcement Learning (RL) has been demonstrated through successful applications t...
The efficacy of early fluid treatment in patients with sepsis is unclear and may contribute to serio...
Artificial intelligence (AI) has been introduced into medicine and an AI-assisted medicine will be t...
OBJECTIVE: To develop machine learning (ML) models capable of predicting ICU admission and extended ...