Latest AI and machine learning research in cultural competence for healthcare professionals.
Artificial intelligence (AI) is rapidly becoming a core methodological pillar of molecular biology and precision medicine, and Africa is a uniquely consequential setting for this transition because the continent combines the world's greatest human genomic diversity with the most severe underrepresentation of that diversity in the datasets and reference resources on which AI models are built and be...
INTRODUCTION: Clinical trials have demonstrated the benefits of early detection of lung cancer (LC); however, the implementation of national LC screening programs remains under consideration. Economic evaluations provide evidence-based insights to support informed policy decisions. OBJECTIVES: This systematic review aims to comprehensively synthesize the health economic evidence on LC screening an...
BACKGROUND: Effective communication is crucial for high-quality health care, but systemic barriers still disrupt patient-provider interactions. Resear...
BACKGROUND: As large language models become increasingly integrated into clinical workflows, medical students need structured opportunities to learn h...
BACKGROUND: Generative artificial intelligence (GenAI), particularly large language models (LLMs), is being integrated into healthcare documentation, ...
BACKGROUND: Traditional simulation-based nursing education is often constrained by high costs, resource intensity, and limited scalability. AI-powered...
BACKGROUND: Bipolar disorder (BD) is a complex and heterogeneous psychiatric condition, characterized by fluctuating clinical courses that affect appr...
BACKGROUND: Artificial intelligence (AI) is increasingly encountered in clinical care and medical education, but medical students' attitudes, percepti...
BACKGROUND: In-person assessments face accessibility, scalability, and geographic diversity challenges, especially for rare diseases. Additionally, Ce...
Autoimmune diseases, including psoriasis (Ps), rheumatoid arthritis (RA) and ulcerative colitis (UC), pose significant health burdens worldwide. A mor...
Artificial intelligence (AI) is increasingly being investigated and, in selected clinical settings, implemented to support diagnosis, triage, and work...
This primarily normative article draws on three ideas - exclusivism, (transformative) inclusivism and incompleteness/conviviality - grounded in Afro-c...
Identifying behavioral and physiological responses to rewarding stimuli is essential for understanding positive emotional states in animals and for in...
BACKGROUND: The incidence of early-onset colorectal cancer (EOCRC) has been increasing in recent years, the carcinogenesis of which has been linked to...
AI has entered the wellness space through apps and wearables. These technologies can collect real-time data, infer lifestyle patterns, and dynamically...
International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding...
BACKGROUND: Tele-oncology addresses geographic barriers to cancer care, but implementation challenges persist in rural settings. AI-enhanced predictiv...
Large language models (LLMs) demonstrate expert-level performance in various medical scenarios, yet their outputs can exhibit bias against groups or i...
Artificial intelligence (AI) has shown significant promise in chest radiography, where deep learning models can approach radiologist-level diagnostic ...
TOPIC: Artificial intelligence (AI) is increasingly applied to support decision-making in ophthalmology. This review evaluates the ability of AI to pr...