Latest AI and machine learning research in intensivists for healthcare professionals.
BACKGROUND: People with traumatic brain injury (TBI) are at high risk for infection and sepsis. The ...
The quality of beef meatballs during repeated freeze-thaw (F-T) cycles was assessed by multiple indi...
Acoustical knee health assessment has long promised an alternative to clinically available medical i...
Given the limited capacity to accurately determine the necessity for intubation in intensive care un...
Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effective...
Cardiovascular diseases (CVD) have become a major public health problem affecting the national econo...
Multi-modal image analysis using deep learning (DL) lays the foundation for neoadjuvant treatment (N...
Brain-machine interfaces (BMIs) aim to restore sensorimotor function to individuals suffering from n...
Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer,...
In radiology, particularly in lung cancer diagnosis, diagnostic errors and cognitive biases pose sub...
Multi-modality image registration is an important task in medical imaging because it allows for info...
Accurate multi-lesion segmentation together with automated grading on fundus images played a vital r...
Self-supervised learning has become the cornerstone of building generalizable and transferable artif...
In the realm of artificial intelligence, simultaneous multi-task learning is crucial, particularly f...
The lane-changing (LC) maneuver of vehicles significantly impacts highway traffic safety. Therefore,...
Compared with discrete emotion space, image emotion analysis based on dimensional emotion space can ...
Early detection of Alzheimer's disease (AD) is crucial to maximize clinical outcomes. Most disease p...
Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized asse...
Deep incomplete multi-view clustering (DIMVC) aims to enhance clustering performance by capturing co...
The microwave brain imaging (MBI) system is an emerging technology used to detect brain tumors in th...
Multi-view clustering has become a rapidly growing field in machine learning and data mining areas b...