Latest AI and machine learning research in cultural competence for healthcare professionals.
Alignment-free methods, more time and memory efficient than alignment-based methods, have been widel...
New computational approaches for virtual screening applications are constantly being developed. Howe...
Corpus selection bias in international relations research presents an epistemological problem: How d...
Image generation is a long-standing problem in the machine learning and computer vision areas. In or...
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neu...
As machines that act autonomously on behalf of others-e.g., robots-become integral to society, it is...
Advances in neuroimaging, genomic, motion tracking, eye-tracking and many other technology-based dat...
With the increasing acquisition of large-scale neural recordings comes the challenge of inferring th...
The black sheep effect (BSE) describes the evaluative upgrading of norm-compliant group members (ing...
BACKGROUND: We determined the impact of data volume and diversity and training conditions on recurre...
Measurement of solute-transport parameters through soils for a wide range of solute- and soil-types ...
Many studies have been published on a variety of clinical applications of artificial intelligence (A...
Explaining colour variation among animals at broad geographic scales remains challenging. Here we de...
One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction...
Despite advances in genotyping technologies, traditional kinship analysis tools utilized in forensic...
Background Detection of vertebral fractures (VFs) aids in management of osteoporosis and targeting o...
Current histological and anatomical analysis techniques, including fluorescence in situ hybridisatio...
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whe...
Identifying new indications for existing drugs may reduce costs and expedites drug development. Drug...
Reducing radiation dose is important for PET imaging. However, reducing injection doses causes incre...
Recently much effort has been invested in using convolutional neural network (CNN) models trained on...