Latest AI and machine learning research in cultural competence for healthcare professionals.
BACKGROUND: Cataracts are an eye condition characterized by high prevalence and blindness-inducing potential, and effective approaches are required for their early diagnosis, underscoring the clinical significance of this study. OBJECTIVE: This study aims to evaluate the performance of deep learning (DL) in cataract diagnosis and assess its potential as an effective tool for automated diagnosis, a...
Pruning is a highly effective method for reducing the size of neural networks with negligible impact on their average performance. However, recent studies have revealed that pruning actually amplifies the bias in the models, leading to decreased performance for underrepresented groups. To address this issue, we first analyze the impact of pruning on the confidence of each sample and introduce Accu...
Sharks have roamed the oceans since the Devonian, surviving multiple mass extinctions. Today, sharks are agile, streamlined swimmers, ambush predators...
Carcinoma of the gallbladder (CAGB) carries a poor prognosis. While alterations in the bile microbiome and lipidome have been linked to CAGB developme...
BACKGROUND: Social determinants of health (SDOH) are the social, economic, and environmental conditions that influence health outcomes. SDOH informati...
BACKGROUND: The use of artificial intelligence (AI) in health care is growing quickly, but there is not enough research that looks at patient concerns...
Machine learning interatomic potentials (MLIPs) balance high accuracy and lower costs compared to density functional theory calculations, but their pe...
PURPOSE: To assess the extent to which large language models (LLMs) amplify or attenuate inaccurate or contested narratives in radiation contexts and ...
BACKGROUND: Artificial intelligence (AI) offers new methods to improve diagnosis and treatment in mental health. However, its use raises legal and eth...
BACKGROUND: Artificial intelligence (AI) integrated with point-of-care imaging is a promising approach to expand access in settings with limited speci...
I argue that the current proliferation of generative artificial intelligence (AI) represents a new stage in a longer historical process of distancing ...
Characterizing the isomeric diversity of molecular formulas (MFs) in dissolved organic matter (DOM) is essential for advancing research across environ...
BACKGROUND: Conversational AI offers scalable mental health support, with large language models (LLMs) enabling personalized interactions. Human-cente...
OBJECTIVE: To systematically evaluate the task-specific performance and clinical translational readiness of artificial intelligence (AI) applications ...
BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies hav...
Young people are experiencing worsening mental health and a growing reliance on online tools and services to address mental health difficulties. At th...
BACKGROUND: Artificial intelligence-based radiomics offers a potential adjunct to the current clinical management of paediatric brain tumours by enabl...
OBJECTIVE: To evaluate the performance of large language models (LLMs) in responding to oral health consultations and to examine the consistency betwe...
This systematic review evaluated the performance and risk of bias in Systemic Lupus Erythematosus (SLE) disease manifestations and case fatality predi...
BACKGROUND: Accurate assessment of mitral regurgitation (MR) severity is crucial for guiding clinical management, but is often limited by the subjecti...