Ethics

Findings from a transformer-based prediction model: social norms and confidentiality are associated with STIs risk in British men and women.

Ethical challenges of using artificial intelligence in suicide prevention: a literature review.

Artificial intelligence (AI) is a tool that could provide useful prevention strategies for people at risk of suicide. However, there are many ethical challenges regarding sensitive or confidential data in the use of AI. This article identifies ethical issues in the use of AI for suicide prevention, analyzed from a mental health perspective and the current Durkheimian approach. A non-systematic rev...

Artificial Intelligence Simplification of English and Spanish Surgical Consent Forms: 1-Size Does Not Fit All.

BACKGROUND: Guidelines recommend patient-facing material be written at or below a 6-9 th-grade reading level; however, surgical consent forms frequent...

Exploring stress and coping among black women in early midlife with elevated blood pressure in a safety-net health system: a qualitative focus group protocol.

INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. De...

Patient perceptions of artificial intelligence in ophthalmology: a cross-sectional survey study.

BACKGROUND/AIMS: Patients have largely been excluded from discussions on the use of their health data in developing medical artificial intelligence (A...

Plasma neurotransmitter-related metabolite alterations in adolescent major depressive disorder with and without psychotic features.

BACKGROUND: Whether adolescent major depressive disorder (MDD) with psychotic features has a distinct peripheral metabolite signature remains uncertai...

Scalable Agile Framework for Execution in AI for Medical AI Ethics Policy Design in Small- and Medium-Sized Enterprises.

Artificial intelligence (AI) is transforming patient care, but it also raises ethical questions, such as bias and transparency. While a range of well-...

Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP).

This article presents a Delphi consensus developed by a panel of editors-in-chief of anaesthesiology and pain medicine journals to guide the responsib...

Scalable physics-informed deep generative model for solving forward and inverse stochastic differential equations.

Physics-informed deep learning approaches have been developed to solve forward and inverse stochastic differential equation (SDE) problems with high-d...

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimodal generative systems, is rapidly emerging in heal...

Physics-Informed Deep Learning for Shear Wave Speed Estimation in MR Elastography.

OBJECTIVE: Magnetic Resonance Elastography (MRE) is a non-invasive imaging technique for mapping biomechanical properties of in vivo tissue, including...

Biomechanics-informed Non-rigid Medical Image Registration with Elasticity Theories.

Biomechanical modelling of soft tissue provides a method for constraining medical image registration, such that the estimated spatial transformation i...

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodeg...

A configurational exploration of how personality traits influence GAI academic misconduct behaviors using fuzzy-set qualitative comparative analysis.

BACKGROUND: The rapid adoption of Generative Artificial Intelligence (GAI) in higher education has introduced new ethical challenges, particularly con...

Predicting non-mixing river flow using data-driven approaches: A case study in the Menindee region in Australia.

Thermal stratification is a significant phenomenon driven by complex interconnected factors that reduce mixing between the top and the bottom layers, ...

Nursing Professional Organisations as Human Rights Intermediaries: Towards an Integrated Framework of Stakeholdership for Healthcare AI Governance.

AIM: To propose a normative framework that guides nursing professional organisations to act as human rights intermediaries in the governance of artifi...

Identifying Transdiagnostic Predictors of Depression Across Psychoses: Informing Stratified Antidepressant Treatments.

INTRODUCTION: Depression frequently co-occurs with psychosis and is associated with poor outcomes. Early identification of patients at risk of persist...

Artificial intelligence translation in healthcare: an urgent call for evidence-informed policy frameworks.

The deployment of artificial intelligence (AI) translation tools in healthcare is accelerating rapidly, yet regulatory frameworks lag dangerously behi...

Efficacy and neural mechanisms of a vibrotactile-enhanced, brain-controlled soft robotic glove for upper limb rehabilitation after stroke: a multicentre randomised controlled trial protocol.

INTRODUCTION: Soft robotic gloves (SRGs) integrated with brain-computer interfaces (BCIs) have demonstrated potential in facilitating motor recovery a...

Primary Care Physician Perspectives on Artificial Intelligence for Dementia Screening: A Qualitative Study.

BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they...