Cultural Competence

Predicting the Livability of Older Adults Using a Livability Scale Through Machine Learning: A Pilot Study.

The interaction of multidimensional person, environment, task, and performance factors requires advanced analytic approaches to understand livability among older adults. This study examined the predictive value of the Livability Scale (LS) for residential satisfaction using multiple machine learning algorithms in adults aged 65 and above. Six models-logistic regression, decision tree, random fores...

Artificial intelligence-powered models in predicting mortality in maternal, newborn, and children under five: a systematic review protocol.

BACKGROUND: Maternal, newborn, and under-five mortality remain significant global health challenges, with 287,000 maternal deaths reported in 2020 and 4.9 million under-five deaths in 2022. The use of artificial intelligence in prediction models has shown great potential in predicting these mortalities. Artificial intelligence (AI)-powered models are capable of processing complex datasets to ident...

Graph data science in fungal biotechnology: Opportunities and applications.

Fungal biotechnology is crucial for generating high-value enzymes and fermentation products. Despite its industrial importance, major knowledge gaps i...

Machine learning and Regression-Based models for prediction of postoperative atrial fibrillation following coronary artery bypass grafting: A systematic review and meta-analysis.

BACKGROUND: Postoperative atrial fibrillation (POAF) is a common complication following coronary artery bypass grafting (CABG) and is associated with ...

Agile legged locomotion in reconfigurable modular robots.

Legged machines are becoming increasingly agile and adaptive, but they have so far lacked the morphological diversity of legged animals, which have be...

Towards decision-ready explainable machine learning for water quality management using a consistency index and cross-validated feature-selection framework.

Reliable prediction and interpretation of water quality dynamics are essential for environmental monitoring and risk-informed water resources manageme...

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability.

Ensuring trust in AI systems is essential for the safe and ethical integration of machine learning (ML) systems into high-stakes domains such as digit...

A data-centric approach to detecting and mitigating demographic bias in pediatric mental health text.

BACKGROUND: Healthcare Artificial Intelligence (AI) offers transformative potential but often inherits biases from training data, worsening disparitie...

Serum Element-Driven Gut Microbial Disturbances and Their Predictive Implications for Gestational Dyslipidemia: A Prospective Birth Cohort Study.

Pregnancy-triggered shifts in maternal serum elements and gut microbiota may disrupt metabolic balance; yet, their interplay in lipid regulation remai...

From principle to practice: Developing a digital-age clinical artificial intelligence ethics competence framework through early-career doctors' experiences.

INTRODUCTION: As artificial intelligence (AI) becomes increasingly embedded in clinical workflows, clinicians encounter ethical challenges that tradit...

Evaluation of Otolaryngology Provider Bias in Portal Messaging.

BACKGROUND/OBJECTIVES: Patient messaging portals are widely used in clinical practice and are linked to improved patient outcomes, but they are also a...

SASG-DA: Sparse-Aware Semantic-Guided Diffusion Augmentation For Myoelectric Gesture Recognition.

Surface electromyography (sEMG)-based gesture recognition plays a critical role in human-machine interaction (HMI), particularly for rehabilitation an...

Generative AI Ethics Toolkit for Clinical Prioritization in Nursing Education.

The rapid adoption of generative artificial intelligence (GenAI) in nursing education presents urgent ethical challenges, particularly as students emp...

TCR sequencing in cancer immunology and immunotherapy: what, when, where, why, and how.

T-cell receptors (TCRs) are generated through somatic recombination of variable (V), diversity (D), and joining (J) gene segments, resulting in an ext...

Declining grassland canopy height in China under asymmetric biomass allocation.

Grassland canopy height is one of the most important traits for determining plant diversity and community structure, directly affecting the resource u...

Telerehabilitation of chronic low back pain: protocol of a systematic review and network meta-analysis.

BACKGROUND: Chronic low back pain (CLBP) is among the most disabling musculoskeletal disorders worldwide. Traditional in-person rehabilitation is ofte...

Impact of Label Noise from Large Language Model-generated Annotations on Evaluation of Diagnostic Model Performance.

Purpose To systematically examine how large language model (LLM)-generated label noise impacts real-world evaluation of artificial intelligence (AI) b...

A Comprehensive Risk Analysis Framework for Medical AI: A Mixed-Methods Approach.

Artificial intelligence (AI) is set to transform traditional healthcare delivery and patient care. However, this transformation presents a range of ch...

Integrating DNA barcoding and machine learning for species identification: Comparative genomics and codon usage bias of chloroplasts in Gentiana sect. Cruciata.

This study integrates chloroplast genome comparison, codon usage analysis, machine learning, and DNA barcoding to elucidate the phylogeny, genetic div...

The regional landscape of the human colon culturome in health and cystic fibrosis.

UNLABELLED: Cystic fibrosis (CF) alters gut physiology, yet its impact on microbial communities across colonic regions (ascending, transverse, descend...