Latest AI and machine learning research in medicaid for healthcare professionals.
Sensor-based human activity recognition (HAR) has attracted enormous interests due to its wide appli...
Cancer patients have a higher risk of cardiovascular disease (CVD) mortality than the general popula...
OBJECTIVES: To develop a deep learning-based pulmonary vessel segmentation algorithm (DLVS) from non...
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial fo...
While insect monitoring is a prerequisite for precise decision-making regarding integrated pest mana...
Increases in the scale and complexity of behavioral data pose an increasing challenge for data analy...
BACKGROUND: There is no consensus on the best method to estimate Low Density Lipoprotein-Cholesterol...
Tumor enucleation technique in robot-assisted partial nephrectomy (RAPN) reportedly contributes to ...
PURPOSE: To evaluate image quality, image noise, and conspicuity of pancreatic ductal adenocarcinoma...
Rapid developments of robotics and virtual reality technology are raising the requirements of more a...
We have conducted a pragmatic clinical trial aimed to assess whether an electrocardiogram (ECG)-base...
The automatic detection and identification of fish from underwater videos is of great significance f...
PURPOSE: The low-dose computed tomography (CT) imaging can reduce the damage caused by x-ray radiati...
The reliability of machine learning models can be compromised when trained on low quality data. Many...
OBJECTIVE: Chronic kidney disease (CKD) is a major public health concern worldwide. High costs of la...
Scaling natural language processing (NLP) to low-resourced languages to improve machine translation ...
Keyword search (KWS) means searching for keywords given by the user from continuous speech. Conventi...
In this paper, we present a new low-cost robotic platform that has been explicitly developed to incr...
Loanword identification is studied in recent years to alleviate data sparseness in several natural l...
Protein engineering has enormous academic and industrial potential. However, it is limited by the la...
BACKGROUND AND OBJECTIVE: The purpose of the present study was to investigate low-shot deep learning...