Latest AI and machine learning research in critical care 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...
Myocarditis, characterized by inflammation of the myocardial tissue, presents substantial risks to c...
Cardiovascular diseases (CVD) have become a major public health problem affecting the national econo...
Advancements in neural network approaches have enhanced the effectiveness of surface Electromyograph...
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,...
Procedural coding presents a taxing challenge for clinicians. However, recent advances in natural la...
Multi-parametric magnetic resonance imaging (mpMRI) exams have various series types acquired with di...
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...
Schizophrenia (SCZ) is a multifactorial mental illness, thus it will be beneficial for exploring thi...
Accurate multi-lesion segmentation together with automated grading on fundus images played a vital r...
Neonatal respiratory disorders pose significant challenges in clinical settings, often requiring rap...
Self-supervised learning has become the cornerstone of building generalizable and transferable artif...
Patients with end-stage kidney disease (ESKD) frequently experience anemia, and maintaining hemoglob...
In the realm of artificial intelligence, simultaneous multi-task learning is crucial, particularly f...