Latest AI and machine learning research in critical care for healthcare professionals.
We proposed an end-to-end deep learning convolutional neural network (DCNN) for region-of-interest b...
OBJECTIVE: This study aims to design, validate and assess the accuracy a deep learning model capable...
Tensor-based multi-view spectral clustering algorithms use tensors to model the structure of multi-d...
With the development of deep learning, medical image segmentation in computer-aided diagnosis has be...
We present a novel methodology for integrating high resolution longitudinal data with the dynamic pr...
OBJECTIVES: This study aimed to develop machine learning models for risk prediction of continuous re...
PURPOSE: Radiotherapy planning incorporating functional lung images has the potential to reduce pulm...
BACKGROUND: Stereotactic body radiotherapy of thoracic and abdominal tumors has to account for respi...
Heating, Ventilation, and Air Conditioning (HVAC) systems in high-speed trains (HST) are responsible...
BACKGROUND: Classifying breast cancer subtypes is crucial for clinical diagnosis and treatment. Howe...
PURPOSE: Treatment of patients undergoing prolonged weaning from mechanical ventilation includes rep...
OBJECTIVE: For patients in the Intensive Care Unit (ICU), the timing of intubation has a significant...
Source localization is significant for mitigating indoor air pollution and safeguarding the well-bei...
Programmed death-ligand 1 (PD-L1) expression is currently used in the clinic to assess eligibility f...
Depth of focus (DOF) is defined as the axial range in which the specimen stage moves without losing ...
We constructed an early prediction model for postoperative pulmonary complications after thoracoscop...
The global burden of acute and chronic wounds presents a compelling case for enhancing wound classif...
Focused cardiac ultrasound (FoCUS) is a valuable point-of-care method for evaluating cardiovascular ...
Deep networks can facilitate the monitoring of a balanced diet to help prevent various health proble...
Aneurysmal subarachnoid haemorrhage (aSAH) can lead to complications such as acute hydrocephalic con...
Accurate classification of membrane proteins like ion channels and transporters is critical for eluc...