Ethics

Risk and liability in the deployment of AI systems for surgery: a SAGES white paper.

BACKGROUND: Artificial intelligence (AI) is increasingly utilized in surgical care for decision support, operative planning, intraoperative guidance, and autonomous functions. While these systems can enhance efficiency and clinical performance, they also introduce risks related to technology, human factors, legal issues, and ethics. Current regulatory and legal frameworks are not fully equipped to...

Bioethics in the era of digital surgery: artificial intelligence, robotics, telesurgery and the surgical black box: who owns the mistakes? Who owns my health data?

Effects of cerebral infarction on cognitive and speech performance.

OBJECTIVE: The present study sought to identify the cognitive features and speech features that might distinguish cerebral infarction patients by usin...

Recommendations for disclosure of artificial intelligence in scientific writing and publishing: a regional anesthesia and pain medicine modified Delphi study.

INTRODUCTION: The use of artificial intelligence (AI) in the scientific process is advancing at a remarkable speed, thanks to continued innovations in...

Physics-informed neural network-based simulation of pulmonary arterial hemodynamics abnormalities.

OBJECTIVES: To predict abnormal pulmonary artery hemodynamics caused by ventricular septal defect (VSD) using Physics-Informed Neural Networks (PINN) ...

Focusing on legal cases: Automatic classification of legal documents with sentence embeddings and deep learning models.

The justice system is indispensable to any society as it enforces the rule of law, safeguards fundamental rights, and ensures the equitable resolution...

Biobanking: IoT, safety challenges and security prospects.

The biobank is a functional unit that facilitates and improves research by storing biological samples and associated data. As such, it is a key resour...

Development of research ethics guidelines for healthcare generative artificial intelligence: deriving expert consensus through a Delphi study.

BACKGROUND: While generative artificial intelligence (AI) is rapidly proliferating in healthcare research and clinical settings, there is a lack of ac...

Peristaltic transport and thermodynamic analysis of hybrid nanofluids in porous media using physics-informed neural networks.

This study presents the wavelet-based physics-informed neural networks (PINNs) simulation to analyse entropy generation in hybrid nanofluid peristalti...

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise capacity increase the risk of hospitalisations and d...

Imaging foundation model for universal enhancement of non-ideal measurement CT.

Non-ideal measurement computed tomography (CT) employs suboptimal imaging protocols to expand CT applications. However, the resulting trade-offs degra...

Human-AI Interaction in Low- and Middle-Income Countries: Qualitative Study of How Local Human Factors Influence AI Development and Deployment.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming health care and health research, offering new opportunities for improving efficiency,...

Evaluating the VOCORDER device for early disease detection through breath analysis: study protocol for a two-phase clinical study.

INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the speed of diagnosis. Too often, diseases are detect...

Immersive virtual reality for cognitive rehabilitation in patients who had a stroke: study protocol for a randomised controlled trial.

INTRODUCTION: Poststroke cognitive impairment (PSCI) is a prevalent complication of stroke, characterised by deficits in one or more cognitive domains...

Professional Ethics in Dietetics: A Global Document Analysis of Codes of Ethics and Conduct.

BACKGROUND: As dietitians actively engage in sectors beyond healthcare, practitioners are expected to uphold ethical standards that reflect both indiv...

Metabolomic Machine Learning Predictor for Adequate and Deep Response to UDCA in Non-Cirrhotic PBC.

BACKGROUND: Primary biliary cholangitis (PBC) patients exhibit heterogeneous responses to ursodeoxycholic acid (UDCA), with partial responders remaini...

Evaluation of an Artificial Intelligence Language Model for Generating Informed Consent Forms in Oral and Maxillofacial Surgery: A QUEST Framework Analysis.

BACKGROUND: Informed consent is a core ethical and legal requirement in oral and maxillofacial surgery (OMFS). Traditional consent documents often lac...

Prevalence and Predictors of Non-Exclusive Breastfeeding at Hospital Discharge in Uruguay.

BACKGROUND: The prescription of infant formula during postpartum hospitalization is one of several factors that influence breastfeeding. RESEARCH AIMS...

Artificial intelligence can replace nursing tasks, but not nurses: Examining artificial intelligence's supports and threats to nursing practice through the lens of the 2025 Nursing Code of Ethics.

BACKGROUND: Nurses are concerned that artificial intelligence (AI) could undermine the holistic, intuitive, and experience-based clinical judgment tha...

Care ethics and the transformation of care in an age of artificial intelligence.

BACKGROUND: The integration of artificial intelligence (AI) and care robots into healthcare raises a central ethical question: what constitutes care, ...