Ethics

Cellular architecture and neighborhood-informed virtual spatial tumor profiling from histopathology.

The tumor microenvironment (TME) critically shapes disease progression and therapeutic resistance. However, a comprehensive understanding of its spatial architecture remains elusive, and clinical translation is challenging. Here, we present cellular architecture and neighborhood-informed virtual AI-driven spatial profiling (CANVAS), an artificial intelligence platform that infers tumor ecological ...

Latent profiles of ethical sensitivity and correlates in nursing interns.

BackgroundEthical sensitivity is a foundational competency that enables nursing interns to recognize and respond to ethical issues in clinical practice. Understanding its heterogeneity is essential for designing tailored educational interventions.AimThis study aimed to identify distinct latent profiles of ethical sensitivity among nursing interns and to examine their associations with critical thi...

Simultaneous Parameter and Function Discovery in Differential Equations Using Physics-Informed Neural Networks.

Inverse problems involving differential equations often require identifying unknown parameters or functions from data. Existing approaches, such as Ph...

When algorithms testify: artificial intelligence-driven DNA analysis, evidentiary standards, and criminal justice reform.

Forensic DNA analysis has already influenced criminal justice, and serves as a powerful tool for both conviction and exoneration. Despite its scientif...

Data After Death: Post-Mortem Ethics of Burn Patient Records and Images.

Burn care frequently relies on extensive documentation, including graphic photographic images and detailed clinical records. While these materials are...

A qualitative interview study of acute care surgeons' approach to literature acquisition: Are you up to date on staying up to date?

INTRODUCTION: Acute Care Surgery (ACS) surgeons care for a wide variety of life-threatening surgical conditions and have a high burden of night and we...

Engagement with an AI- and CGM-Integrated Digital Health Platform Is Associated with Clinically Significant Weight Loss.

BACKGROUND: Obesity affects millions of U.S. adults and is linked to cardiometabolic disease. This study examined whether user engagement with the Sig...

Expanding the ethics horizon: integrating African canons for inclusive research ethics in Africa.

BACKGROUND AND INTRODUCTION: Society 5.0 envisions a future where technology and humanity integrate to address societal concerns. In an era marked by ...

Secure AI-assisted angoff standard-setting for single best answer questions: A non-inferiority validation study.

BACKGROUND: The Angoff method sets exam pass scores using expert estimates of the probability that a borderline candidate will answer each question co...

Between Help and Harm: An Evaluation Study of Mental Health Crisis Handling by Large Language Models.

BACKGROUND: The use of large language models (LLMs)-powered chatbots has reshaped how people seek information and advice, including for emotional and ...

Large language models and generative artificial intelligence in endodontics: a scoping review.

The aim of this study is to comprehensively examine the evolution of artificial intelligence (AI), specifically large language models (LLMs), in the f...

Analysis of vehicle-related non-exhaust PM10 and emerging pollutants in Beijing with machine-learning.

With the growth of electric vehicles, non-exhaust PM10 is becoming the dominant contributor to vehicle-related particulate pollution and a source of e...

Prospective validation of an AI algorithm to identify adult-onset type 1 diabetes misclassification: protocol for a non-interventional multicentre study.

INTRODUCTION: Adult-onset type 1 diabetes (T1D) is often misclassified as type 2 diabetes (T2D), resulting in delayed treatment, missed opportunities ...

Physics-informed neural networks with caputo-fabrizio derivatives for nonlinear fractal-fractional delay equations and chaotic systems.

Complex dynamical systems, ranging from anomalous diffusion and memristor circuits to convective fluid motion in rotating cavities, exhibit non-local ...

Observational study of predictors and outcomes of lung cancer in never-smokers in the UK (OLIVE): study protocol.

INTRODUCTION: Lung cancer is commonly associated with smoking. However, if considered separately, lung cancer in never-smokers (LCINS) is the seventh ...

Who decides what is healthy? Algorithmic classification and medical normativity.

The proliferation of algorithmic classification systems in healthcare raises fundamental questions about medical normativity: who determines the stand...

Artificial intelligence and machines are capable of harm, but not of experiencing punishment.

Algorithms, robots, and artificial intelligence are increasingly making morally salient decisions (e.g., medical triage) and taking actions (e.g., ter...

Data-driven science, ethics and risk: Building knowledge of key ethics-risk intersections relevant to public sector decision-making.

Risk decision-making has evolved from a vernacular focused on risk assessment and management to fully integrated approaches designed to inform risk ac...

Auricular Point Acupressure Self-Management (APA-SM) program for chronic musculoskeletal pain among rural populations: a protocol for a pragmatic, randomized controlled trial.

INTRODUCTION: Chronic musculoskeletal pain (CMP) is a leading cause of incurred personal healthcare costs and disability in the USA. It disproportiona...

Benchmarking machine learning architectures for menstrual recovery prediction using physiologically informed synthetic wearable data.

Secondary amenorrhea is a heterogeneous condition with implications for reproductive, cardiovascular, and bone health. Existing machine learning appro...