Latest AI and machine learning research in cultural competence for healthcare professionals.
Managing chronic diseases requires ongoing monitoring of disease activity and therapeutic responses ...
Segmentation of the airway tree plays a vital role in clinical practice. However, the complex airway...
This paper discusses ethics-based strategies for mitigating bias in machine learning models used to ...
BACKGROUND: Synthetic electronic health records (EHRs) generated by large language models (LLMs) off...
It has been proven that the microbiome in human bodies can promote or inhibit the treatment effects ...
To systematically review the progress in the method development and application of distributed lear...
Although machine learning is frequently used in medicine for predictive purposes, its accuracy in di...
Global patterns of intraspecific genetic diversity are key to understanding evolutionary and ecologi...
: In 2010, approximately 60.5 million people were affected by glaucoma, making it the leading cause ...
PURPOSE: Shortcut learning has been identified as a source of algorithmic unfairness in medical imag...
Freshwater ecosystems are increasingly threatened by climate change and anthropogenic activities, ne...
Cochlear implantation is an advantageous procedure for individuals with severe to profound hearing ...
Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, t...
This study explores the transformative role of generative artificial intelligence (AI) in shaping re...
The purpose of this study is to systematically review and evaluate the accuracy of low-dose chest CT...
Preeclampsia remains a leading cause of maternal and perinatal morbidity and mortality worldwide. Wh...
Identification of T cell receptor (TCR) specificities for antigens from large-scale single-cell or b...
Despite growing awareness of problems with fairness in artificial intelligence (AI) models in radiol...
Representation bias in health data can lead to unfair decisions and compromise the generalisability ...
Background Four-dimensional (4D) flow MRI provides assessment of thoracic aorta hemodynamic measures...
Generative artificial intelligence (GAI) programs can identify symptoms and make recommendations for...