Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Current surface electromyography (sEMG) methods for locomotion mode prediction face limitations in a...
This study introduces an innovative approach combining deep-learning techniques with classical physi...
The optimization of absorption, distribution, metabolism, and excretion (ADME) profiles of compounds...
The identification of drug-target interactions (DTIs) is an essential step in drug discovery. In vit...
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying...
Transforming smart meter data captured at low-resolution litre intervals of 15 to 60 mins into resid...
The purpose of this article is to evaluate the application of artificial intelligence (AI) from the ...
sEMG is a non-invasive biomedical engineering technique that can detect and record electrical signal...
Mass spectrometry is used to determine infectious microbial species in thousands of clinical laborat...
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and ...
One-class learning has many application potentials in novelty, anomaly, and outlier detection system...
Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects...
Deep multiple instance learning (MIL) pipelines are the mainstream weakly supervised learning method...
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe ...
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-t...
The emergence of advanced artificial intelligence (AI) models has driven the development of framewor...
Medical volume data are rapidly increasing, growing from gigabytes to petabytes, which presents sign...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
The rising prevalence of myopia is a significant global health concern. Atropine eye drops are comm...
Dynamic contrast-enhanced (DCE) MRI is an important imaging tool for evaluating tumor vascularity th...
Using Deep Learning in computer-aided diagnosis systems has been of great interest due to its impres...