Latest AI and machine learning research in surveys for healthcare professionals.
Substantial progress has been made towards implementing automated radiology reporting models based o...
BACKGROUND: The advancement of health care information technology and the emergence of artificial in...
BACKGROUND: Many studies that aim to identify gene biomarkers using statistical methods and translat...
This study attempted to multimodally measure mental workload and validate indicators for estimating ...
Significant attention has been paid to the accurate detection of diabetes. It is a big challenge for...
Deep learning (DL) methods have in recent years yielded impressive results in medical imaging, with ...
Primary brain tumors including gliomas continue to pose significant management challenges to clinici...
PURPOSE: To report the results of a nationwide online survey on artificial intelligence (AI) among r...
Prototype or instance selection techniques is an important field of research in knowledge discovery,...
UNLABELLED: Greulich and Pyle (GP) is one of the most common methods to determine bone age from hand...
A massive number of biological entities, such as genes and mutations, are mentioned in the biomedica...
Modern survey methods may be subject to non-observable bias, from various sources. Among online surv...
Research indicates that psychopathology in disaster survivors is a function of both experienced trau...
In this article we present a biologically inspired model of activation of memory items in a sequence...
Many models can be used to fill the gaps caused by incomplete geospatial data. But not all are valid...
This work focused on the combination of CdTe and AgInS quantum dots in a dual-emission nanoprobe for...
Knowledge-based biomedical data science involves the design and implementation of computer systems t...
A conformal predictive system(CPS) is based on the learning framework of conformal prediction, which...
The objectives were to determine errors in femoral anteversion (FA), femoral offset (FO), and vertic...
In toxicity evaluation based on the nuclear receptor signalling pathway, in silico prediction tools ...
Several case series have demonstrated the safety and feasibility of outpatient robot-assisted radic...