Ethics

With Power Comes Responsibility.

Artificial intelligence (AI) is a powerful technology that can accelerate discovery at an unprecedented speed across all sectors of life. While some sectors already operate under established guidelines and regulations, others remain largely unchecked. With great power, however, comes great responsibility. This article, therefore, calls for a closer look at the use of AI in biobanking, a field that...

Not Another Grocery List: Proposals for an Effective AI Ethics Implementation.

Considerable effort has been invested during the last decade to develop ethical frameworks to guide the use of artificial intelligence (AI) technologies. Most of these frameworks take the form of an axiomatic list, that is, a list of principles or values taken as self-evident truths. This paper argues these lists face three challenges: divergence within the core principles, structural incoherence,...

Nursing Students' Ethical Perspectives on Artificial Intelligence: Implications for Nursing Education.

BACKGROUND: As artificial intelligence (AI) increasingly transforms health care delivery, nursing education must prepare students to engage with this ...

Learning variable-order time fractional diffusion equations using Physics-Informed Neural Networks.

This paper introduces a novel approach using physics-informed neural networks (PINNs) to simultaneously solve variable-order time fractional diffusion...

(Global) single market for data? Exploring data cosmopolitanism as a solidarity-based regulatory approach to the european health data space.

The European Union (EU) is advancing an interoperable data governance framework through the establishment of Common European Data Spaces (CEDS), foste...

EMBC Special Issue: Non-invasive BP Estimation via Carotid-Brachial-Radial Coupling: A Physics-Informed Asymmetric Cycle Network Approach.

Photoplethysmogram (PPG) based cuffless blood pressure (BP) monitoring holds significant potential to revolutionize hypertension management. However, ...

Kernel PCA for out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation.

Out-of-Distribution (OoD) detection is vital for the reliability of deep neural networks, the key of which lies in effectively characterizing the disp...

Diagnostic yield of electroencephalographyin the emergency department: protocol for the EMINENCE-M multicentre retrospective observational study.

INTRODUCTION: Emergency EEG (emEEG) is increasingly used in the emergency department (ED), but its diagnostic yield remains uncertain. This protocol d...

Trends in the use of adult-specific preference-weighted health-related quality of life instruments in clinical trials over the past 50 years: a protocol for a meta-research study using deep learning-based natural language processing and large language models.

BACKGROUND: Health technology assessment bodies increasingly emphasise the importance of preference-weighted health-related quality of life (HRQoL) ev...

Protocol for assessment of pain biomarkers in orthopaedic patients undergoing total knee arthroplasty in a tertiary care hospital and neuroimmunopharmacology laboratory in South Australia: a cross-sectional matched-subject observational study.

INTRODUCTION: Knee osteoarthritis is a leading cause of pain and disability and frequently results in total knee arthroplasty (TKA). Decisions about s...

Physics-Informed Neural Operators for Parameter Inference in Multi-vessel Cardiovascular Networks.

PURPOSE: Accurate, patient-specific haemodynamic assessment is limited by the cost of computational solvers and the sparsity of clinical measurements....

A Socioeconomic Assessment of Projected Health Impacts From Outdoor Air Pollution Under Current European Climate Policy: A Modelling Study.

BACKGROUND: Outdoor air pollution poses a major threat to human health and is closely interlinked to climate change, as both stem largely from the sam...

Barriers and enablers for publishing results of randomized trials: a cross-sectional survey of principal investigators in sub-Saharan Africa.

OBJECTIVES: To investigate the views and experiences of principal investigators (PIs) based in sub-Saharan Africa (SSA) regarding publication bias of ...

Beyond snapshot dosing: a dynamic living digital twin framework for model-informed precision dosing in critical illness.

INTRODUCTION: Model-Informed Precision Dosing (MIPD) has improved individualized therapy, but in critical illness its reliance on intermittently updat...

Voice as a predictive signal: protocol for a scoping review of AI in early childhood development.

INTRODUCTION: Early childhood development (ECD) interventions support children aged 0-5 years, including those typically developing, at risk of delays...

Local performance and fairness testing of an AI Scribe in a paediatric developmental assessment clinic in South Australia: a silent trial protocol.

INTRODUCTION: Any tool that can reduce the administrative burden on healthcare providers while preserving safe, accountable and high-quality medical d...

AMI-SSS01 portable phonocardiographic examination with AI-assisted assessment for detecting heart failure exacerbations in home-based medical care in Japanese primary care clinics: a study protocol for a randomised controlled feasibility trial.

INTRODUCTION: The global prevalence of heart failure continues to increase, particularly in ageing populations. Many older patients receiving home-bas...

Wearable sensor technology and machine learning for anterior cruciate ligament injury diagnosis: an exploratory feasibility study.

OBJECTIVES: To evaluate the feasibility of using wearable inertial measurement units (IMUs; small body-worn sensors that capture linear acceleration a...

Global Digital Violence Against Women and Girls.

INTRODUCTION: New technological advances, including generative artificial intelligence, have provided new methods of victimizing women and girls. The ...

Ethical Considerations in Personal Health Large Language Models.

Personal health large language models (PH-LLMs) have rapidly evolved from research prototypes into consumer-facing, data-linked systems that support s...