Ethics

A multi-modal data fusion and real-time monitoring on stroke risk prediction using federated learning.

Predicting the risk of stroke is one of the critical problems in healthcare, which necessitates efficient solutions for providing accurate and prompt risk assessments while preserving data confidentiality. This work proposes a new framework using Federated Learning (FL) to combine Multi-Layer Perceptron (MLP) and Gated Recurrent Unit (GRU) models that are essential in analyzing multimodal data. Im...

Building your future ICU in Asia Pacific: A structured regional priority-mapping summit report from the Asia Pacific Critical Care Societies Summit 2025.

OBJECTIVE: To summarise the proceedings of the third Asia Pacific Critical Care Societies Summit and identify regionally aligned priorities for the "Future of Your ICU" across diverse health systems. DESIGN: Structured regional priority-mapping summit report and thematic synthesis of society presentations, informed by comparative evidence and contextual analysis. SETTING: Satellite meeting of the ...

Multi-parameter deep learning for robust fiber eavesdropping detection and temporal localization.

As the backbone of global communication infrastructure, optical fibers carry vast amounts of sensitive data, making them prime targets for eavesdroppi...

Artificial Intelligence in Couple and Family Therapy: Introduction of the AI Competencies.

Artificial Intelligence (AI) has rapidly altered the practice of couple/marital and family therapy (CMFT). While much has been written in other discip...

Short-chain fatty acid-producing microbes differentiate non-infectious and infectious neutropenic fever in leukemia.

UNLABELLED: Neutropenic fever (NF) is often the first sign of infection in patients with hematologic malignancies, but its cause is frequently unknown...

Quantitative and qualitative motion analysis for early detection of joint damage in haemophilia patients: study protocol for a pilot feasibility study at a German haemophilia treatment centre.

INTRODUCTION: Joint bleeds are the most significant complication in haemophilia, leading to functional impairment and reduced quality of life. Repeate...

Beyond linearity: reimagining AI as a participant in circular bioeconomies.

As artificial intelligence transitions from industry-exclusive tool to public-facing technology, society faces critical decisions about its integratio...

How does the implementation of AI-based automation of administrative tasks affect healthcare professionals' work? Study protocol for a longitudinal embedded case study in Swedish primary and specialist care.

INTRODUCTION: Artificial intelligence (AI) is transforming healthcare through enhanced computational capabilities that process vast amounts of data wi...

Capacity building for ethical use of artificial intelligence in health: protocol for a scoping review of training initiatives and gaps in Africa.

INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in health systems, with applications spanning diagnostic imaging, clinical decisio...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as ...

Convolutional neural networks detected changes in facial expressions of mice that had conditioned fear stress.

Animal models are essential for studying aversive states such as fear and pain. Facial expressions may provide non-invasive readouts of aversive state...

Ethical AI innovation in healthcare and sustainable development in Bangladesh.

PURPOSE: This study examines how artificial intelligence (AI) innovation and ethical governance influence sustainable healthcare outcomes in Banglades...

Differential Factors Associated With the Presence of Persistent Symptoms in Individuals Diagnosed With Long COVID: Protocol for a Longitudinal Matched Case-Control Study.

BACKGROUND: Long COVID (postacute sequelae of SARS-CoV-2 infection) is a heterogeneous condition with persistent multisystem symptoms and substantial ...

The Challenges of Web Scraping and AI for Research Ethics in Canada: A Survey of University REBs.

With the increasing popularity of AI, it is critical to gain an understanding of how academic research ethics are impacted. Unfortunately, in Canada, ...

A hierarchical and privacy-preserving intrusion detection framework for SAGIN-enabled IIot using graph neural networks and deep Q-learning.

Space-Air-Ground Integrated Networks (SAGIN) supporting Industrial Internet of Things (IIoT) applications impose stringent requirements on intrusion d...

Hybrid physics-informed machine learning and nanobiosensing strategies for precision liver cancer diagnostics.

Liver cancer, particularly hepatocellular carcinoma (HCC), is a significant global health concern due to its asymptomatic early stages, biological div...

Strategies for Improving Carbon Emission Efficiency of Municipal Solid Waste Management System in Western China: A Transition toward Environmental Equity.

Rapid urban expansion poses critical challenges for cross-regional municipal solid waste (MSW) management within the context of climate mitigation and...

A practical framework for operationalising responsible and equitable artificial intelligence in health care: tackling bias, inequity, and implementation challenges.

Artificial intelligence (AI) has the potential to transform health care; however, successful integration of AI into health care requires overcoming ob...

Public Engagement Strategies in Digital Health Ethics: Protocol for a Scoping Review.

BACKGROUND: The ethical, legal, and social issues accompanying the latest advancements in digital health technologies highlight the need to involve th...

A dorsal versus ventral network for understanding others in the developing brain.

Young children strongly depend on others, and learning to understand their mental states (referred to as Theory of Mind, ToM) is a key challenge of ea...