Latest AI and machine learning research in cultural competence for healthcare professionals.
INTRODUCTION: Student evaluations influence faculty promotion but may reflect implicit bias. We assessed whether surgeon gender, race, age, and experience were associated with differences in student evaluations at a large academic medical center. MATERIALS AND METHODS: This retrospective cohort study included 149 surgical attendings evaluated by medical students at the University of North Carolina...
Accurate neoantigen prediction is central to the design of personalized cancer immunotherapy. The immune recognition of neoantigens is a multi-step process involving peptide-major histocompatibility complex (MHC) binding, antigen presentation, and T cell activation. Despite extensive computational efforts, the overall accuracy of neoantigen identification remains unsatisfactory, limiting translati...
In an increasingly specialized medical landscape, Patient Blood Management (PBM) has emerged as a multidisciplinary and ethically grounded approach to...
The emergence of Large Vision-Language Models (LVLMs) marks significant strides towards achieving general artificial intelligence. However, these adva...
BACKGROUND: Technology-facilitated sexual violence and abuse (TFSVA) encompasses sexual harms perpetrated through digital means. Rapid developments in...
Artificial Intelligence (AI) is reshaping healthcare through advances in diagnostics, treatment, and operations, yet the startup ecosystem driving thi...
BACKGROUND: Translation of medical consultation summaries is essential for equitable health care communication in culturally and linguistically divers...
The promotion and application of pulmonary function tests (PFTs) in China have achieved preliminary success;however, numerous deficiencies persist in ...
The discovery of selective small-molecule inhibitors for pharmacologically underexplored kinases remains a critical barrier to precision drug developm...
PURPOSE: Lung cancer is the leading cause of cancer-related mortality worldwide, yet its underlying mechanisms remain unclear. Disruptions in the resp...
The global rise in the prevalence of obesity highlights the need for accessible and effective solutions for obesity management. ChatGPT, one of the fa...
OBJECTIVES: This study examines whether better oral health is associated with greater social engagement in later life and whether oral health and soci...
BACKGROUND: Ultrasound is the standard imaging test for infant developmental dysplasia of the hip (DDH) but is highly operator-dependent, leading to v...
OBJECTIVES: Leveraging routine electronic health records (EHR) for dementia detection is a growing field, but quality and clinical utility of existing...
Motor unit diversity arises from differences in the contractile properties of muscle fibres and the intrinsic electrical properties of their motoneuro...
PURPOSE: Digital and AI-supported psychosocial interventions are increasingly implemented to address psychological distress among women with breast ca...
BACKGROUND: Despite the transformative potential of large language models (LLMs) in health care, the rapid development of these tools has outpaced the...
Extracellular spike waveforms provide critical insights into neuronal activity, morphology, and function. Their shape can reveal cell-type identity, e...
BACKGROUND: One of the ways to enhance analyses conducted with large claims databases is by validating the measurement characteristics of the code-bas...
BACKGROUND: Artificial intelligence (AI) is increasingly used in dental imaging for automated interpretation of dental images and as a clinical decisi...