Latest AI and machine learning research in cultural competence for healthcare professionals.
BACKGROUND: The stroke volume (SV) can be measured by a human expert (HE) using the left ventricular outflow tract diameter (LVOTd) and its velocity time integral (VTI) with echo. If the SV is known, the cardiac output and systemic vascular resistance can be calculated. We have previously described a machine learning computer model (CM) to estimate the LVOTd. The accuracy of LVOTdCM vs. LVOTdHEM i...
Artificial intelligence (AI), specifically generative AI, presents opportunities to advance equity through transformative practices in cardiovascular care. In this review, we describe how generative AI models risk perpetuating inequities through representation bias, measurement and labeling bias, deployment bias, and contextual issues. We propose a framework for equitable generative AI that addres...
Chronic pain (CP) disproportionately affects underserved populations who often experience barriers to evidence-based nonpharmacologic treatments. Digi...
BACKGROUND: A discharge summary should be a clinical report that documents a patient's hospital stay, including test results, diagnoses, management, a...
BACKGROUND: Perceived trustworthiness of research may be influenced by factors beyond the risk of bias, including study-related characteristics, resea...
BACKGROUND: Vessels encapsulating tumor clusters (VETCs), a CD34-positive vascular pattern in hepatocellular carcinoma (HCC), are linked to aggressive...
BACKGROUND: Inequitable and time-consuming shift scheduling contributes to nurse burnout, dissatisfaction, and turnover. In Taiwan, annual nurse turno...
Music engages sensory, motor, cognitive, and emotional systems, making it a powerful model for studying experience-dependent neuroplasticity. Although...
BACKGROUND: Effective expatriate management has become crucial in the health care sector, driven by the growing number of globally mobile professional...
Due to the scarcity of expert-annotated data, Semi-Supervised Medical Image Segmentation (SSMIS) has emerged as a promising approach. Many anatomical ...
The menopausal transition represents one of the most complex and heterogeneous periods of women's midlife health, marked by non-linear hormonal fluctu...
The increasing integration of artificial intelligence in clinical decision support systems (AI-CDSS) has fueled expectations of more personalized and ...
In this study, we combined an interpretable machine learning (ML) framework with a large language model (LLM) to investigate structure-reactivity tren...
The global health workforce faces a projected shortage of more than 11 million health workers by 2030, with the most severe shortfalls in low- and mid...
As a vital ecological buffer zone and biodiversity hotspot, the structure and composition of macroinvertebrate communities in estuarine wetlands are u...
AI-driven skin lesion diagnosis systems are revolutionizing dermatology practice but perform worse on darker skin populations, which threatens diagnos...
Predicting antibody and NANOBODY® VHH-antigen complexes remains a critical challenge for state-of-the-art structure prediction models, limiting their ...
BACKGROUND: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment...
Aging induces immunosenescence, a progressive decline in immune function underpinning age-related pathogen vulnerability, yet T/B cell receptor (TCR/B...
Automatic imitation refers to the unconscious tendency to copy observed actions, a phenomenon that is robustly weaker when observing robots compared t...