Latest AI and machine learning research in cultural competence for healthcare professionals.
With the advances in technology and data science, machine learning (ML) is being rapidly adopted by ...
In this review, concepts of algorithmic bias and fairness are defined qualitatively and mathematical...
Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular com...
At ultrahigh field strengths images of the body are hampered by B -field inhomogeneities. These pres...
The class of doubly robust (DR) functionals studied by Rotnitzky et al. (2021) is of central importa...
Recently, research has shown an increased spread of non-communicable diseases such as cancer. Lung c...
Artificial Intelligence (AI) and Machine Learning (ML) are powerful tools shaping the healthcare sec...
Although artificial neural networks (ANNs) were inspired by the brain, ANNs exhibit a brittleness no...
BACKGROUND: Artificial intelligence (AI) in health care continues to expand at a rapid rate, impacti...
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed...
Convolutional neural networks (CNNs) have successfully driven many visual recognition tasks includin...
The application of artificial intelligence (AI) in the field of medicine has revolutionised various ...
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic...
Large language models (LLMs) will benefit science by accelerating task performance. We explored whet...
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...
BACKGROUND: Artificial intelligence (AI) performed variously among test sets with different diversit...
Deformable medical image registration is an essential preprocess step for several clinical applicati...
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...