Latest AI and machine learning research in medicare for healthcare professionals.
Long planning time in volumetric-modulated arc stereotactic radiotherapy (VMA-SRT) cases can limit its clinical efficiency and use. A vector model could retrieve previously successful radiotherapy cases that share various common anatomic features with the current case. The prsent study aimed to develop a vector model that could reduce planning time by applying the optimization parameters from thos...
Estimation of common cost-effectiveness measures, including the incremental cost-effectiveness ratio and the net monetary benefit, is complicated by the need to account for informative censoring and inherent skewness of the data. In addition, since the two components of these measures, medical costs and survival are often collected from observational claims data, one must account for potential con...
Scientific reproducibility is key to scientific progress as it allows the research community to build on validated results, protect patients from pote...
Object class segmentation is a computer vision task which requires labeling each pixel of an image with the class of the object it belongs to. Deep co...
Objective To evaluate the effect of dynamic long leg casting in paediatric patients with developmental dysplasia of hip (DDH) diagnosed at 12-18 month...
Objectives of this experiment were to evaluate pregnancy per AI (P/AI) and progesterone (P4) concentrations after AI of lactating dairy cows under hea...
BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making...
Life-long chronic inflammatory diseases of the airways, such as asthma and Chronic Obstructive Pulmonary Disease, are very common worldwide, affecting...
Stereotactic radiosurgery (SRS) is the accurate, conformal delivery of high-dose radiation to well-defined targets while minimizing normal structure d...
Ecological systems are known to exchange genetic material through animal species migration and seed dispersal for plants. Isolated plant populations h...
The concept of precision agriculture, which proposes farming management adapted to crop variability, has emerged in recent years. To effectively imple...
This paper presents new Radial Basis Function (RBF) learning methods for classification problems. The proposed methods use some heuristics to determin...
Considering that agricultural production is characterized by vast areas, scattered fields and long crop growth cycles, intelligent wireless sensor net...
This study presents a plan for seismic monitoring of a region around a potential nuclear power plant. Seismic monitoring is needed to evaluate seismic...
Although the importance of long-range connections for cortical information processing has been acknowledged for a long time, most studies focused on t...
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned ...
The purpose of this study was to evaluate the performance of a commercially avail-able CyberKnife system with a multileaf collimator (CK-MLC) for ster...
The purpose of this study was to investigate the magnitude and dosimetric relevance of translational and rotational shifts on IGRT prostate volumetric...
Assistive technologies are often considered to be passive tools implemented in targeted processes. Our previous study of the implementation of the rob...
Labral hypertrophy is a distinct feature in hip dysplasia. Occasionally, very small, hypotrophic labra are observed. However, there is no literature c...