Latest AI and machine learning research in cultural competence for healthcare professionals.
Unsupervised Domain Adaptation (UDA) makes predictions for the target domain data while labels are o...
Deep Reinforcement Learning (RL) is increasingly used for developing financial trading agents for a ...
The antigenic diversity of influenza A viruses (IAV) circulating in swine challenges the development...
In recent years, the prevalence of technological advances has led to an enormous and ever-increasing...
Machine Learning (ML) is on the rise in medicine, promising improved diagnostic, therapeutic and pro...
Ensemble learning methods combine multiple models to improve performance by exploiting their diversi...
Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis. T...
Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to...
Large-scale optimization has become a significant and challenging research topic in the evolutionary...
Modern experimental technologies can assay large numbers of biological sequences, but engineered pro...
The current gold standard in cancer diagnosis-the microscopic examination of hematoxylin and eosin (...
There is clear evidence to suggest that diabetes does not affect all populations equally. Among adul...
The dynamics of cerebellar neuronal networks is controlled by the underlying building blocks of neur...
Artificial intelligence (AI) is increasingly employed in health care fields such as oncology, radiol...
PURPOSE: RobotReviewer is a machine learning system for semi-automated assistance in risk of bias as...
We examine gender bias in media by tallying the number of men and women quoted in news text, using t...
The mortality prediction of diverse rare diseases using electronic health record (EHR) data is a cru...
RATIONALE: This paper aims to show how the focus on eradicating bias from Machine Learning decision-...
Retrosynthesis is an essential task in organic chemistry for identifying the synthesis pathways of n...
There is a growing interest in using machine learning algorithms to support surgical care, diagnosti...
High-resolution manometry (HRM) is the primary method for diagnosing esophageal motility disorders a...