Latest AI and machine learning research in medicaid for healthcare professionals.
The use of targeted agents in the treatment of pediatric low-grade gliomas (pLGGs) relies on the det...
INTRODUCTION AND OBJECTIVES: The increasing incidence of hepatocellular carcinoma (HCC) in China is ...
OBJECTIVE: Myocardial contrast echocardiography (MCE) plays a crucial role in diagnosing ischemia, i...
To evaluate the usefulness of low-keV multiphasic computed tomography (CT) with deep learning image ...
Machine learning (ML) models have been increasingly employed to predict osteoporosis. However, the i...
This paper presents an analysis of trunk movement in women with postnatal low back pain using machin...
Finding candidate molecules with favorable pharmacological activity, low toxicity, and proper pharma...
Immobilized microalgae biotechnologies can conserve water and space by low-carbon wastewater treatme...
Low muscle mass is associated with numerous adverse outcomes independent of other associated comorbi...
OBJECTIVE: The purpose of this study is to explore the impact of deep learning image reconstruction ...
In positron emission tomography (PET) and X-ray computed tomography (CT), reducing radiation dose ca...
Accurate prediction and grading of gliomas play a crucial role in evaluating brain tumor progression...
OBJECTIVES: We aimed to construct an artificial intelligence-enabled electrocardiogram (ECG) algorit...
BACKGROUND: Biomedical Relation Extraction (RE) is essential for uncovering complex relationships be...
BACKGROUND: Computed tomography (CT) reconstruction algorithms can improve image quality, especially...
This paper proposes a scheme for predicting ground reaction force (GRF) and center of pressure (CoP)...
BACKGROUND: Â Despite low mortality for elective procedures in the United States and developed countr...
Contamination with traces of pharmaceutical compounds, such as ciprofloxacin, has prompted interest ...
BACKGROUND: The best settings of deep learning image reconstruction (DLIR) algorithm for abdominal l...
Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challen...
Simulators are widely used in medical education, but objective and automatic assessment is not feasi...