Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may incre...
Infants are at risk for potentially life-threatening postoperative apnea (POA). We developed an Auto...
The digitalization of the Intensive Care Unit (ICU) led to an increasing amount of clinical data bei...
Cardiac magnetic resonance quantitative T1-mapping is increasingly used for advanced myocardial tiss...
Physical findings of auscultation cannot be quantified at the arteriovenous fistula examination site...
Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for ...
Breast and ovarian cancers are the second and the fifth leading causes of cancer death among women. ...
BACKGROUND: Uremic toxins are associated with various chronic kidney disease-related comorbidities. ...
Artifacts caused by patient breathing and movement during PET data acquisition affect image quality....
Artificial neural networks are the main tools for data mining and were inspired by the human brain a...
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patient...
PURPOSE: Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with high mor...
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsi...
Improving the quality of image-guided radiation therapy requires the tracking of respiratory motion ...
BACKGROUND: When pulmonary complications occur, postlobectomy patients have a higher mortality rate,...
A significant proportion of the current technological developments in pneumology originate from the ...
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Park...
OBJECTIVES: We aimed to build a machine learning predictive model to predict the risk of prolonged m...
A 3-week-old boy with viral gastroenteritis was by error given 200 mL 1 mmol/mL hypertonic saline in...
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to com...