Latest AI and machine learning research in critical care for healthcare professionals.
Visible near-infrared reflectance spectroscopy (VNIR) and hyperspectral images (HSI) have their resp...
Predicting the patient's in-hospital mortality from the historical Electronic Medical Records (EMRs)...
COVID-19,which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is one...
Human respiratory information is being used as an important source of biometric information that can...
OBJECTIVES: Deep learning-reconstructed diffusion-weighted imaging (DL-DWI) is an emerging promising...
Critical care practice has been embodied in the healthcare system since the institutionalization of ...
OBJECTIVE: Acute kidney injury (AKI), a common condition on the intensive-care unit (ICU), is charac...
Sleep is an important indicator of a person's health, and its accurate and cost-effective quantifica...
BACKGROUND: High-flow nasal cannula (HNFC) is able to provide ventilation support for patients with ...
As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...
Urothelial carcinoma (UC) could be observed in urinary bladder (UBUC) and upper urinary tracts (UTUC...
The significance of performing large-depth dynamic microscopic imaging in vivo for life science rese...
Although intensive care medicine (ICM) is a relatively young discipline, it has rapidly developed in...
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis pred...
In any healthcare setting, it is important to monitor and control airflow and ventilation with a the...
BACKGROUND: A growing body of research suggests that the use of computerized decision support system...
Stuttering is a neuro-developmental speech impairment characterized by uncontrolled utterances (inte...
PURPOSE OF REVIEW: Digital respiratory monitoring interventions (e.g. smart inhalers and digital spi...
BACKGROUND: Identifying patterns within ICU medication regimens may help artificial intelligence alg...
Federated learning (FL) is a privacy preserving approach to learning that overcome issues related to...
The rapid adoption of electronic health record (EHR) systems in US hospitals from 2008 to 2014 produ...