Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Further attachment of image-based communication speed to sensitive areas must be provided with confi...
The rapid growth of the Internet of Medical Things (IoMT) has increased the adoption of remote healt...
Multi-view graph clustering, a fundamental task in data mining and machine learning, aims to partiti...
BACKGROUND: Coronary revascularization decision-making for patients with coronary artery disease (CA...
Purpose To develop a digitized integrated feature-based interpretable machine learning classificatio...
BACKGROUND: Diabetic kidney disease (DKD) represents the leading cause of end-stage renal disease (E...
BACKGROUND: Mild cognitive impairment and early dementia (MCI-ED) are frequently unrecognized in rou...
Direct modulation lasers (DMLs) are a low-cost technology for short-reach intensity modulation and d...
Total knee arthroplasty (TKA) represents the gold standard for relieving pain and restoring function...
OBJECTIVE: The digitization of paper electrocardiograms (ECGs) faces several challenges, including a...
Multimodal image fusion and object detection significantly enhance detection accuracy and robustness...
To determine whether there are radiomic ultrasound features of early pregnancy when viability is unk...
Accurate intrapartum biometry plays a crucial role in monitoring labor progression and preventing co...
Electroencephalogram (EEG)-based emotion recognition holds great potential in affective computing, m...
PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemi...
Visual-based navigation for mobile robot poses significant challenges due to limited visual percepti...
BACKGROUND: This study tests the hypothesis that postoperative undertriage of high-acuity patients t...
SUMMARY: The accurate development, assessment, interpretation, and benchmarking of bioinformatics fr...
End-to-end visual odometry models have recently achieved localization accuracy on par with conventio...
End-to-end EEG-based emotion recognition is attracting increasing attention due to its potential in ...
Exponential growth in scientific literature has heightened the demand for efficient evidence-based s...