Ethics

Exploring Applications of AI in the Crisis Line Sector: Protocol for a Scoping Review.

BACKGROUND: Crisis helplines are a vital component of a robust public health approach to suicide prevention as they are often free, accessible, and provide immediate support to individuals in distress. AI presents an opportunity for novel applications to support and improve crisis line services across a variety of functions, including assessing suicide risk, identifying issues, tracking responder ...

Moral distress risk profiling in ICU nurses: A cross-sectional study.

BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care quality, and turnover. Which factors matter most - and how they combine to shape individual risk - remains poorly characterised.Research objectiveTo identify factors associated with moral distress in ICU nurses and develop a parsimonious, exploratory risk-profiling model.Research designMulticentre c...

Healing Without Certainty: The Ethical Significance of Uncertainty in Israeli Medicine in the Age of Artificial Intelligence.

The growing integration of artificial intelligence into healthcare is frequently associated with efforts to reduce uncertainty through prediction, dat...

Overcoming physical approximation limitations of nanometal thin film thickness measurement by physics-informed neural networks.

Non-destructive and precise thickness measurement of nanometre metal thin films, especially at the sub-10 nm scale where accurate measurement poses si...

Drug Discovery's Blind Spot: Why Organoid-Artificial Intelligence Convergence Demands Integrated Governance.

Organoid-artificial intelligence (AI) platforms are increasingly central to drug discovery, yet they sit between two governance regimes. AI frameworks...

Cost-effectiveness and environmental impact of artificial intelligence-assisted colonoscopy with the resect-and-discard strategy: a microsimulation study.

Background Artificial intelligence (AI)-assisted colonoscopy reduces costs in colorectal cancer screening, but its incremental value relative to non-A...

Navigating fairness in artificial intelligence-based prediction models: theoretical constructs and practical applications.

Artificial intelligence (AI)-based prediction models, including risk scoring systems and decision support systems, are being increasingly adopted in h...

Exploring patients' and public perspectives on an oral capsule for gastric submucosal delivery in Denmark and the USA: a mixed-methods study protocol.

INTRODUCTION: Oral capsules for gastric submucosal delivery represent a fundamentally new route of administration for biologics, which are currently l...

Data science and AI in medicine and global health: The need for inter-philosophies dialogue, cross-cultural ethics and ecocentricity.

Advances in data science and medical artificial intelligence (AI) raise complex philosophical and ethical quandaries about what it means to know a per...

Use, Concerns, and Perspectives on AI in Health Care Among French Health Professionals and Students: Web-Based Cross-Sectional Survey.

BACKGROUND: AI is increasingly discussed and deployed in health care, yet safe and effective implementation depends on the preparedness, trust, and tr...

Emerging Ethical Considerations in Otolaryngology-Head and Neck Surgery.

OBJECTIVES: To perform a scoping review of ethics-based literature published in the last 5 years in otolaryngology-head and neck surgery (OHNS), and t...

Artificial intelligence, work, and structural inequality: Why human-centric AI requires institutional architecture, not just ethics.

BackgroundThe rapid integration of artificial intelligence (AI) into labour markets, migration governance, and social protection systems is increasing...

The Scale for AI Literacy in Health Care Workers: Development and Validation.

BACKGROUND: AI is increasingly embedded in health care systems; yet, validated instruments for assessing AI literacy among health care workers remain ...

Convergences and divergences in nursing ethics across the European Union: A qualitative comparative analysis of national codes.

BACKGROUND: Nursing ethics guides practice, but European Union national codes were developed in diverse socio-legal contexts, generating heterogeneous...

AI-Empowered Nuclear Medicine Education, Part 1: Theoretical and Ethical Foundation.

Nuclear medicine (NM) is rapidly expanding with new radiopharmaceuticals, imaging equipment, and theranostic possibilities, necessitating a capable an...

[Technology-Driven, Human-Centered Care: Challenges and Opportunities].

Rising costs, power shortages, and gaps in service accessibility and care quality rank among the most pressing challenges currently facing the global ...

Regulatory Approaches to Cybersecurity Risk Management for AI-Enabled Medical Device Software in Korea, the United States, and the European Union: Comparative Document Analysis.

BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, expanding the attack surface and making cybersecur...

Manual federated simulation for multiple sclerosis integrating XGBoost algorithm with SHAP explanation.

Multiple sclerosis (MS) is a chronic autoimmune disorder of the central nervous system, underscoring the importance of early and accurate diagnosis. I...

A primer on artificial intelligence for palliative care educators.

Artificial intelligence (AI) is rapidly being adopted in education in the health care professions, including in palliative care. Yet existing AI prime...

Training the algorithmically augmented orthodontist: competencies, curriculum design, and implementation challenges.

OBJECTIVES: To establish a structured framework for incorporating artificial intelligence (AI) education into orthodontic residency training, outlinin...