Latest AI and machine learning research in cultural competence for healthcare professionals.
Application of artificial intelligence (AI) has revolutionized the utilization of big data, especial...
Semi-supervised learning (SSL) has demonstrated remarkable advances on medical image classification,...
ChatGPT, a chatbot based on a large language model, is currently attracting much attention. Modern m...
Despite the expert-level performance of artificial intelligence (AI) models for various medical imag...
This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes a...
Uncertainty is inherent in machine learning methods, especially those for camouflaged object detecti...
OBJECTIVES: Considering the importance of social determinants of health (SDHs) in promoting the heal...
BACKGROUND: Resources are increasingly spent on artificial intelligence (AI) solutions for medical a...
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformat...
Zero-shot detection (ZSD) aims to locate and classify unseen objects in pictures or videos by semant...
Learning about one’s implicit bias is crucial for improving one’s cultural competency and thereby re...
Having to face the challenges posed by a shortage of skilled care workers and an increasing number o...
Artificial intelligence (AI) and its machine learning (ML) algorithms are offering new promise for p...
Every research participant has their own personality characteristics. For example, older adults assi...
This is an era of uncertainty, during which adaptability is a key capability to survival and future ...
Diversity is supposed to create better groups and societies but sometimes fails. It is explained why...
. Artificial intelligence (AI) methods have gained popularity in medical imaging research. The size ...
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assess...
Background Automation bias (the propensity for humans to favor suggestions from automated decision-m...
Background Machine learning (ML) is pervasive in all fields of research, from automating tasks to co...
Artificial intelligence (AI) and other data-driven technologies hold great promise to transform heal...