Latest AI and machine learning research in cultural competence for healthcare professionals.
Retrieval-augmented generation (RAG) is an emerging artificial intelligence (AI) strategy that integ...
Rapid innovation and new regulations increase the need for post-marketing surveillance of implantabl...
Early-onset colorectal cancer (EOCRC) is rising rapidly, particularly among Hispanic/Latino (H/L) po...
Maternal mental health (MMH) disorders, particularly depression and anxiety, are major public health...
Generative AI (GenAI) has emerged in the current decade as a paradigm-shifting technology with poten...
The BIG-HEART cohort was established to study and reduce health inequalities in cardiovascular disea...
Revascularization decision-making for patients with coronary artery disease (CAD) can benefit from a...
Perinatal depression (PND) affects 10-20% of pregnant women, with significant racial disparities in ...
Large language models (LLMs) have emerged as powerful tools for sentiment analysis in healthcare, of...
Prolonged fasting may benefit metabolic health, but data in healthy individuals remain limited. We p...
Accurate detection of multidimensional sleep health (MSH) information from electronic health records...
Mindfulness-based interventions (MBIs) have gained significant recognition as effective approaches f...
Artificial intelligence (AI) is rapidly transforming healthcare, but its benefits are not reaching a...
Diabetes represents an emerging global health crisis, with lower-middle-income countries experiencin...
Delays in the diagnosis of transthyretin amyloid cardiomyopathy (ATTR-CM) contribute to the signific...
Cognitive biases are an important source of clinical errors. Large language models (LLMs) have emerg...
This paper delivers a rigorous mixed-methods synthesis of conversational AI applications in mental h...
The unintended biases introduced by optimization and machine learning (ML) models are a topic of gre...
Sepsis remains a leading cause of intensive care unit (ICU) mortality worldwide, and early detection...
Machine learning (ML) models are widely used to predict body mass index (BMI), yet their fairness ac...
Natural language processing (NLP) can identify cohorts of patients with inflammatory bowel disease (...