Latest AI and machine learning research in ethics for healthcare professionals.
While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there a...
OBJECTIVE: To assess the effectiveness of different machine learning models in estimating the pharma...
Lesion segmentation is a fundamental step for the diagnosis of acute ischemic stroke (AIS). Non-cont...
The comprehensive integration of machine learning healthcare models within clinical practice remains...
INTRODUCTION: The liberal use of blood cultures in emergency departments (EDs) leads to low yields a...
BACKGROUND: Dengue epidemics impose considerable strain on healthcare resources. Real-time continuou...
Nonalcoholic fatty liver disease (NAFLD), nowadays the most prevalent chronic liver disease in Weste...
Considering physical constraints encountered by actuators, this paper addresses the non-zero-sum gam...
BACKGROUND: To mitigate post-harvest losses and inform harvesting decisions at the same time as ensu...
An always-on electrocardiogram (ECG) anomaly detector (EAD) with ultra-low power (ULP) consumption i...
Total volatile basic nitrogen (TVB-N) serves as a crucial indicator for evaluating the freshness of ...
BACKGROUND: The most common route of breast cancer metastasis is through the mammary lymphatic netwo...
: Currently, no tool exists to predict clinical outcomes in patients with advanced Parkinson's disea...
Multi-center disease diagnosis aims to build a global model for all involved medical centers. Due to...
Accurate processing and analysis of non-human primate (NHP) brain magnetic resonance imaging (MRI) s...
This study explored the application of machine learning in predicting post-treatment outcomes for ch...
In this retrospective study, we aimed to assess the objective and subjective image quality of differ...
OBJECTIVE: Clinical stage IA non-small cell lung cancer (NSCLC) showing a pure-solid appearance on c...
BACKGROUND: The best method for selecting embryos ploidy is preimplantation genetic testing for aneu...
Contemporary healthcare at all levels increasingly uses Artificial Intelligence (AI). However, since...
BACKGROUND: In laparoscopic liver surgery, accurately predicting the displacement of key intrahepati...