Latest AI and machine learning research in cultural competence for healthcare professionals.
Brain age estimation using machine learning has gained significant attention as a promising approach to assess cognitive health and aging. By analyzing structural and functional MRI data, these models can predict an individual's brain age, providing insights into neurological conditions and potential interventions. The purpose of this study is to compare the performance of different MRI modalities...
IMPORTANCE: Although the Martin-Hopkins equation is widely validated and used to estimate low-density lipoprotein cholesterol (LDL-C) for clinical care, a simplified equation could streamline implementation and enable broader adoption. OBJECTIVE: To develop a simplified machine learning-based alternative to the Martin-Hopkins equation using multivariate adaptive regression splines (LDL-C-MH-MARS) ...
Understanding natural selection can help shed light on the genetics underpinning adaptive evolution. The widespread availability of large-scale human ...
BACKGROUND: Chatbots have recently emerged as an alternative approach for delivering cancer risk assessment and genetic counseling. Understanding the ...
Fluid identification of reservoirs is remarkably significant for the evaluation and development of tight sandstone oil gas reservoirs. Tight sandstone...
OBJECTIVES: To develop a generalizable framework for identifying algorithmic discrimination risks arising from subgroup imbalances in machine learning...
BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...
BACKGROUND: Without strategic intervention to support medical education research in anesthesiology, the training of future anesthesiologists may be co...
BACKGROUND: Generative artificial intelligence (AI) has the potential to impact health care by transforming workflows and improving outcomes. Patient-...
OBJECTIVES: Electronic health record (EHR) data discontinuity, defined as receiving care outside of a particular EHR system, may cause misclassificati...
BACKGROUND: Accurate assessment of caries depth on intraoral radiographs is crucial for determining the extent of the lesion and planning appropriate ...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-modifying antirheumatic drug (DMARD) therapy in adult...
BACKGROUND: Mental health issues continue to increase worldwide, often intensified by stigma and lack of awareness. Social media has become a major sp...
Timely identification of crop diseases is imperative in precision agriculture to intervene at the right time and maximise yield sustainability. Despit...
BACKGROUND: The rapid digitization of healthcare has positioned transformer-based natural language processing (NLP) models as powerful tools for manag...
BackgroundLarge language models (LLMs) harbor systematic biases that are particularly consequential in workplace and HR contexts, where their outputs ...
INTRODUCTION: Objective Structured Clinical Examinations (OSCEs) are widely used to assess clinical competence, but face challenges related to examine...
Peptide quantitative structure-activity relationship (PepQSAR) has attracted much attention in the bio- and cheminformatics communities as a well-esta...
BACKGROUND: Typhoon disturbances profoundly reshape coastal microbial ecosystems; however, the coupled responses and co-successional dynamics of bacte...
BACKGROUND: Ovarian cancer (OC) is a highly fatal gynecologic malignancy with complex management challenges and limited long-term survival for advance...