Latest AI and machine learning research in cultural competence for healthcare professionals.
The global demand for plasmid DNA (pDNA) is rapidly increasing due to its key role in the manufacture of mRNA vaccines and advanced therapy medicinal products (ATMPs). However, the reliance on suboptimal batch and/or fed-batch processes, as well as the diversity and increasing complexity of plasmid constructs pose significant challenges during process development. In fact, the diversity of manufac...
Health informatics and artificial intelligence (AI) technologies are increasingly influencing pediatric health care delivery across diverse health system contexts. These technologies offer opportunities to improve diagnostic accuracy, personalized treatment approaches, and access to care globally. This viewpoint examines how health and public health informatics frameworks, when integrated with AI ...
OBJECTIVE: Liver stiffness measurement is important for assessing chronic liver disease (CLD). MR elastography (MRE) requires specialized hardware and...
Neural ensembles, comprising multiple heterogeneous neural networks, show promise in machine learning tasks. Their efficacy depends on architecture de...
BACKGROUND: Increasing cultural diversity requires nurses to ensure cultural safety in patient care. Artificial intelligence (AI)-based simulations of...
BACKGROUND: Acute kidney injury (AKI) is a common complication following pediatric cardiac surgery, frequently leading to poor outcomes and even death...
BACKGROUND: Large language models (LLMs) show promise in specialized domains, but their capabilities in Traditional Chinese Medicine(TCM)-a field with...
BACKGROUND: Paediatric content in undergraduate nursing education is typically delivered through lectures, simulation, and clinical placements. Constr...
The organ- and stage-specific diversity of megakaryocytes (MKs) has prompted a reassessment of their distribution and functions. By integrating single...
BACKGROUND: Diversity of providers in medical teams improves team communication, increases care for underserved populations, enhances patient complian...
Loss-of-function mutations in the autism-associated CHD8 gene are highly penetrant for trait and behavioral abnormalities in children, but there is su...
Type 1 diabetes mellitus (T1DM) patients require lifelong insulin therapy; however, iatrogenic hypoglycemia remains a major clinical challenge, with h...
This article examines the evolution of AI framing in Chilean national digital media before and after the launch of ChatGPT in 2022. Through topic mode...
Artificial intelligence is increasingly used to design cultural and creative products, yet consumer acceptance varies considerably. Personality traits...
OBJECTIVE: This systematic review and meta-analysis aimed to evaluate the performance of machine learning (ML) models compared to traditional statisti...
Enthusiasm for artificial intelligence (AI) applications in rehabilitation medicine has accelerated rapidly, from 22 publications in 2015 to 1,449 in ...
This paper introduces the Semantic Propagation Graph Neural Network (SProp GNN), a machine learning emotion prediction (EP) architecture that relies e...
The main goal of this paper is to determine the optimal DC bias value for DC-biased optical orthogonal frequency division multiplexing (DCO-OFDM)- bas...
BACKGROUND: Generative artificial intelligence (GenAI) is enhancing virtual patient simulations in health care education by enabling dynamic, adaptive...
As clients increasingly use generative artificial intelligence for emotional support, psychologists now deal with unfamiliar ethical challenges that g...