Latest AI and machine learning research in cultural competence for healthcare professionals.
Deep neural networks have been remarkably successful as models of the primate visual system. One cru...
BACKGROUND AND OBJECTIVES: Clinical machine learning (ML) technologies can sometimes be biased and t...
BACKGROUND: Diagnostic errors, often due to biases in clinical reasoning, significantly affect patie...
(1) Background: Quasi-experimental design has been widely used in causal inference for health policy...
BACKGROUND AND PURPOSE: Recently, artificial intelligence tools have been deployed with increasing s...
Inductive bias in machine learning (ML) is the set of assumptions describing how a model makes predi...
The goal of debiasing in classification tasks is to train models to be less sensitive to correlation...
Measurement techniques often result in domain gaps among batches of cellular data from a specific mo...
Humans have been shown to have biases when reading medical images, raising questions about whether h...
BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in heal...
This scoping review examined racial and ethnic bias in artificial intelligence health algorithms (AI...
OBJECTIVES: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatm...
The AlphaFold Protein Structure Database (AFDB) contains more than 214 million predicted protein str...
Organizations, researchers, and software increasingly use automatic speech recognition (ASR) to tran...
Facial expression recognition (FER) is significantly influenced by the cultural background (CB) of o...
Artificial intelligence (AI) and machine learning (ML) are anticipated to transform the practice of ...
With the recent surge in the development of highly selective probes, fluorescence microscopy has bec...
Machine learning and deep learning advancements have boosted Brain-Computer Interface (BCI) performa...
The increasing torrents of health AI innovations hold promise for facilitating the delivery of patie...
Few-Shot Semantic Segmentation (FSS) aims to tackle the challenge of segmenting novel categories wit...
This review investigated the effectiveness of robotic-assisted gait training (RAGT) in improving gai...