Latest AI and machine learning research in cultural competence for healthcare professionals.
INTRODUCTION: Stigma and bias related to race and other minoritized statuses may underlie disparities in pregnancy and birth outcomes. One emerging method to identify bias is the study of stigmatizing language in the electronic health record. The objective of our study was to develop automated natural language processing (NLP) methods to identify two types of stigmatizing language: marginalizing l...
Recent advancements in single-cell technologies have led to rapid developments in the construction of cell atlases. These atlases have the potential to provide detailed information about every cell type in different organisms, enabling the characterization of cellular diversity at the single-cell level. Global efforts in developing comprehensive cell atlases have profound implications for both bas...
With the growing popularity of artificial intelligence in drug discovery, many deep-learning technologies have been used to automatically predict unkn...
Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable d...
Cross-validation remains a popular means of developing and validating artificial intelligence for health care. Numerous subtypes of cross-validation e...
Generating large-scale, high-fidelity sequencing data is challenging and, furthermore, not much has been done to characterize adjuvants' effects at th...
Artificial intelligence (AI) is increasingly being used in decision making across various industries, including the public health arena. Bias in any d...
Dermatological conditions impact many people globally, including those with melanin-rich skin. However, insufficient medical education contributes to ...
Ginsenoside Rg3 is reported to contribute to the traditionally known diverse effects of red ginseng extracts. Significant individual variations in the...
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons present various firing modes in neural activities. In ...
Monitoring body condition score (BCS) is a useful management tool to estimate the energy reserves of an individual cow or a group of cows. The aim of ...
Artificial intelligence (AI)-powered chatbots have the potential to substantially increase access to affordable and effective mental health services b...
Artificial intelligence (AI)-based diagnostic tools can offer numerous benefits to the field of histopathology, including improved diagnostic accuracy...
Actor-critic methods are leading in many challenging continuous control tasks. Advantage estimators, the most common critics in the actor-critic frame...
Medical interpretation is an underutilized resource, despite its legal mandate and proven efficacy in improving health outcomes for populations with l...
Artificial intelligence as a medical device is increasingly being applied to healthcare for diagnosis, risk stratification and resource allocation. Ho...
BACKGROUND: Artificial intelligence (AI) is a rapidly evolving field which will have implications on both individual patient care and the health care ...
Integrating artificial intelligence (AI) has transformed living standards. However, AI's efforts are being thwarted by concerns about the rise of bias...
Effective solutions to conserve biodiversity require accurate community- and species-level information at relevant, actionable scales and across entir...
Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack of objective outcomes and fidelity metrics. AI technolog...