Latest AI and machine learning research in cultural competence for healthcare professionals.
Single nucleotide polymorphisms represent the most abundant form of genetic variation in plant genomes and have become fundamental markers in modern plant genetics and breeding. Increasing global demand for food, combined with the pressures of climate change, environmental stress, and declining arable land, requires accelerated crop improvement strategies that exceed the capacity of conventional b...
Artificial intelligence (AI) is increasingly being integrated into healthcare systems and has the potential to improve health outcomes. In Sub-Saharan Africa (SSA), however, concerns remain that AI may either reduce or exacerbate existing health inequities depending on how it is developed, governed, and implemented. This scoping review aimed to map and synthesise the existing evidence on the impli...
BACKGROUND: Inference-time retrieval augmentation is increasingly used to improve the traceability and verifiability of large language model (LLM) app...
Gender bias in Chinese natural language processing poses significant challenges due to its high degree of metaphorical expression and strong dependenc...
Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...
Cognitive science faces ongoing challenges in research integration, formalization, conceptual clarity, and other areas, partly due to its multifaceted...
AIM: To provide an early-stage integrative synthesis of shared and scenario-specific ethical risks of Conversational Artificial Intelligence in nursin...
Machine-learning surrogate models have shown promise in accelerating aerodynamic design, yet progress toward generalizable predictors for three-dimens...
Background and ObjectivesArtificial intelligence (AI) is increasingly used in healthcare decision-making to improve clinical efficiency and patient ri...
BACKGROUND: Early ACL injury risk identification in athletes is essential. This systematic review examines machine learning (ML) models for predicting...
Artificial intelligence (AI) is rapidly being adopted in education in the health care professions, including in palliative care. Yet existing AI prime...
INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...
Introduction Dental caries remains a major global oral health burden, and accurate radiographic detection of carious lesions is a core competency in d...
In simulated English and Spanish clinical encounters, ambient AI scribes propagated interpreter errors into clinical notes, with patterns varying by s...
BACKGROUND: Conventional cardiovascular magnetic resonance (CMR) in pediatric and congenital heart disease uses 2D, breath-hold (BH), balanced steady ...
PURPOSE: Africa is entering a new era of cancer research, driven by renewed commitments to genomic innovation, data equity, and strengthened cancer re...
BACKGROUND: Health care systems face escalating cyberattacks, including the UK Synnovis ransomware attack, which halted pathology services for 14 week...
BACKGROUND: AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clin...
Artificial intelligence is rapidly entering clinical practice, yet many physicians-especially those in solo or small-group settings-lack the guidance ...
BACKGROUND: AI shows substantial potential in health care; however, the absence of standardized evaluation frameworks limits its safe and effective cl...