Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early dia...
Docking tools to predict whether and how a small molecule binds to a target can be applied if a stru...
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot di...
BACKGROUND: Various robotic technologies have been developed recently for objective and quantitative...
Study Design Randomized controlled trial. Objective Adolescent idiopathic scoliosis (AIS) is a commo...
In December 2013, the Japanese Ministry of Health, Labour and Welfare (MHLW) partially amended the s...
OBJECTIVE: To develop and evaluate RobotReviewer, a machine learning (ML) system that automatically ...
One of the factors affecting the reliability of genomic prediction is the relationship among the ani...
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis h...
Our long-term goal is to enable a robot to engage in partner dance for use in rehabilitation therapy...
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate res...
OBJECTIVE: To better understand the literature searching preferences of clinical providers we conduc...
For years, we have relied on population surveys to keep track of regional public health statistics, ...
A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vector...
The use of robots in therapy for children with autism spectrum disorder (ASD) raises issues concerni...
Cognitive behavior therapy (CBT) is an effective treatment for social anxiety disorder (SAD), but ma...
Identifying land-use drivers of changes in river condition is complicated by spatial scale, geomorph...
Outcomes from 5Â years of treatment with agalsidase alfa enzyme replacement therapy (ERT) for Fabry d...
Expert opinion plays an important role when choosing clusters of chemical compounds for further inve...
Computerizing paper-based CPG and then executing them can provide evidence-informed decision support...
The consistency of propensity score (PS) estimators relies on correct specification of the PS model....