Cultural Competence

Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.

BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address ethical concerns such as bias, privacy, and transparency to protect clinician and patient populations. Although prior research has examined the perspectives of medical AI stakeholders, including clinicians, patients, and health system leaders, far less ...

Interdisciplinary expertise to advance human-centered explainable AI.

The field of artificial intelligence (AI) is rapidly influencing health and healthcare, but bias and inadequate subgroup performance persists. Previous work has clearly outlined the need for more rigorous attention to data representativeness and model performance to advance population health and reduce bias. However, there is an opportunity to leverage best practices of social epidemiology, behavi...

Stage-wise environmental recovery patterns and cross-domain interactions of planktonic bacterial communities in Zhanjiang Bay following typhoon disturbance.

Typhoon events can abruptly alter local biogeochemical cycles, which may strongly influence microbial community structure and ecological interactions....

Gender-based data bias and model fairness evaluation in benchmarked open-access disease prediction datasets.

The widespread use of open-access datasets for validating machine learning (ML) models has raised critical concerns about data bias and model fairness...

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized con...

Multimodal Rehabilitation for Advanced Cancer Pain: a Narrative Review of Emerging Nonpharmacological Strategies.

PURPOSE OF REVIEW: This narrative review aims to explore research advances in multimodal rehabilitation for advanced cancer pain, with a primary focus...

Multi-scale drivers of spontaneous plant diversity in urban residential green spaces across dispersal modes: Implications for ecological planning.

Residential green spaces (RGSs) are ubiquitous elements of the urban fabric and can function as low-maintenance, nature-based solutions that reconnect...

Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis.

RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of preoperative computed tomography (CT) and magnetic resonance imaging (MRI)-based r...

Recovery of expected salary estimated by facial emotion scores against computer-based landscape data.

The perceived recovery of expected salary (RES) matters for work efficacy at a given amount of wage investment. A total of 31 industrial parks (IPs) w...

Revealing the hidden patterns of shark and ray diversity over the past 145 million years.

Neoselachians (a monophyletic group including modern sharks, rays, and skates and their extinct relatives)1,2 have an extensive fossil record and a lo...

Community participatory Jingchu folk pattern generation platform construction and user co-creation mechanism analysis.

In the context of the digital era, the protection and inheritance of traditional cultural heritage face unprecedented opportunities and challenges. Th...

Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.

OBJECTIVES: Earlier heart failure (HF) diagnosis in the community could allow timely treatment initiation and prevent unnecessary hospitalisation, but...

Divergent creativity in humans and large language models.

The recent surge of Large Language Models (LLMs) has led to claims that they are approaching a level of creativity akin to human capabilities. This id...

VHU-Net: Variational hadamard U-Net for body MRI bias field correction.

Bias field artifacts in magnetic resonance imaging (MRI) scans introduce spatially smooth intensity inhomogeneities that degrade image quality and hin...

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often mor...

A Framework Integrating Single-Cell Metallomic Data in Health Effect Analysis via Quantile Features and Machine Learning.

Heavy and essential metals coexist in a cell, collectively participate in cellular biological processes, and lead to overall health consequences. Howe...

Effectiveness of Different Educational Approaches in Improving Comprehensive Clinical Competence Among Medical Students: A Systematic Review and Meta-Analysis.

Active, student-centred teaching strategies are increasingly being adopted to bridge the gap between biomedical knowledge and clinical performance in ...

How human-perceived urban green spaces contribute to mental well-being: a machine learning approach.

Global urbanization has heightened attention to urban green spaces (UGS) and their role in supporting mental well-being (MWB). While macro-scale lands...

Machine Learning-Based Bias-Corrected Future Projections of Ozone Concentrations from a Chemistry-Climate Model.

Reliable projections of future surface ozone are crucial for air quality management and health risk assessment. However, potential biases in spatial d...

Dual path fairness optimization for graph neural network based recommendation.

Graph Neural Networks (GNNs) have been widely used in recommender systems due to their ability to model high-order user-item interactions. However, th...