Latest AI and machine learning research in surveys for healthcare professionals.
This paper presents an integrated and scalable precision health service for health promotion and chr...
Effective prediction of aircraft failure rate has important guiding significance for formulating rea...
Autopsy examination, the gold standard for defining causes of death, is often difficult to apply in ...
According to the traditional data mining method, it is no longer applicable to obtain knowledge from...
Diffusion weighted imaging (DWI) with multiple, high b-values is critical for extracting tissue micr...
Bias field is one of the main artifacts that degrade the quality of magnetic resonance images. It in...
Determining transcriptional factor binding sites (TFBSs) is critical for understanding the molecular...
We aim to synthesize brain time-of-flight (TOF) PET images/sinograms from their corresponding non-TO...
The use of naturalistic stimuli, such as narrative movies, is gaining popularity in many fields, cha...
We aimed to identify the glucose metabolism statuses of nondiabetic Japanese adults using a machine ...
The number of patients diagnosed with cancer continues to increasingly rise, and has nearly doubled ...
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical ...
RESEARCH QUESTION: What are the emotional effects of infertility on patients, partners, or both, and...
Machine learning models are increasingly adopted for facilitating clinical decision-making. However,...
The current new round of scientific and technological revolution represented by artificial intellige...
In the practice of power line engineering, navigation and positioning technology is often used in th...
Measuring trust is an important element of effective human-robot collaborations (HRCs). It has large...
BACKGROUND: Natural language processing (NLP) is a discipline of machine learning concerned with the...
Gait analysis is used in research and clinical environments; yet several limitations exist in curren...
In real industrial scenarios, intelligent fault diagnosis based on data-driven methods has been wide...
To increase the utility of legacy, gold-standard, three-dimensional (3D) motion capture datasets for...