Latest AI and machine learning research in cultural competence for healthcare professionals.
OBJECTIVE: In this paper, we explore the correlation between performance reporting and the developme...
Few metrics exist to describe phenotypic diversity within ophthalmic imaging datasets, with research...
A growing minority of those with disabilities are people of color (POC), with, for example, autism d...
Deep learning models for medical image analysis easily suffer from distribution shifts caused by dat...
The recent advent of in-context learning (ICL) capabilities in large pre-trained models has yielded ...
OBJECTIVE: This study aims to assess and compare two state-of-the-art deep learning approaches for s...
The functional organization of the human object vision pathway distinguishes between animate and ina...
Kawasaki Disease (KD) is a rare febrile illness affecting infants and young children, potentially le...
Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., res...
Unsupervised domain adaptation (UDA) has shown impressive performance by improving the generalizabil...
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge...
Randomised controlled trials (RCTs) are the gold standard for evaluating health interventions but of...
PURPOSE: Implicit, unconscious biases in medicine are personal attitudes about race, ethnicity, gend...
BACKGROUND: Machine learning (ML) is increasingly used in population and public health to support ep...
This systematic review aimed to evaluate the application of artificial intelligence (AI) in the iden...
We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imagin...
BACKGROUND: Accurate prediction of copy number variations (CNVs) from targeted capture next-generati...
Integrating artificial intelligence (AI) into critical domains such as healthcare holds immense prom...
Preeclampsia is one of the leading causes of maternal morbidity, with consequences during and after ...
spp. and hepatitis E virus (HEV) are significant foodborne zoonotic pathogens that impact the healt...
Deep learning systems are prone to catastrophic forgetting when learning from a sequence of tasks, a...