Ethics

Use of heart rate variability in prediction of clinical deterioration in critically ill hospitalised adults: a systematic review protocol.

INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction of physiological systems, including autonomic, endocrine, immune and cardiorespiratory. Reduced HRV has been shown to be associated with adverse outcomes in several disease states. In critical illness, commonly used prognostic tools such as the Acut...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a promising nonpharmacological alternative, its clinical utility is currently constrained by limited accessibility, inconsistent efficacy, and a lack of mechanistic clarity. OBJECTIVE: This study aims to describe the development of individualized (rec...

Non-transgenic rodent models associated with Alzheimer's disease: applications, evaluation, and perspectives.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder. Familial AD accounts for less than 1% of cases, while sporadic AD (SAD) accounts...

Novel indicator for colonoscopy insertion difficulty and its application in predictive modelling: a multicentre prospective study protocol in China.

BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with e...

Comprehensive Consideration of Ethics in AI-assisted Scientific Writing and Peer Review.

The emergence of large language models and generative artificial intelligence (AI) is driving fundamental transformations in the ecosystem of scholarl...

Dynamic prediction of cardiovascular risk from linked primary care records in New South Wales, Australia: protocol for a retrospective prognostic modelling study.

INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of preventable morbidity and mortality. Most existing CVD prediction tools use a ba...

Time Is Aorta: Can Artificial Intelligence Improve Surgical Timelines in Acute Type A Aortic Dissection? A Comprehensive Review.

BACKGROUND AND AIMS: Acute Type A aortic dissection (ATAAD) is a surgical emergency in which delays in diagnosis, transfer, and operative activation i...

Patients' perceptions of ethical issues in semi-autonomous robot-assisted surgery.

BACKGROUND: Artificial intelligence enables surgical robots to perform certain actions without surgeon control or semi-autonomously. Patient willingne...

Educating pharmacists for an artificial intelligence augmented profession: A narrative review of curricular and accreditation imperatives.

Generative artificial intelligence (AI) moved from novelty to clinical infrastructure within a single Doctor of Pharmacy program, yet pharmacy curricu...

Digital doppelgangers in psychiatry.

Digital doppelgangers are individualized, continuously updated digital representations of a person constructed from behavioral, physiological, and con...

Deep technologies for responsible gambling: A narrative review of policies and implementation strategies.

BACKGROUND AND AIMS: Deep technologies, such as artificial intelligence, blockchain, and behavioural analytics, have emerged as promising tools to add...

Mapping National Governance of AI for Health: Protocol for a Global Scoping Review.

BACKGROUND: AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clin...

Performance of GPT-4o and Claude in Medical Ethics Scenarios: Comparative Study.

BACKGROUND: The emergence of AI technology has sparked curiosity regarding the capabilities of large language models (LLMs) in the field of medicine. ...

Battling the Bots and Defending Against Fraudulent Responses in an International Community-Engaged Web-Based Survey With People Living With Long COVID: Methodological Study.

BACKGROUND: Web-based surveys involving self-reported questionnaires are vulnerable to fraudulent responses. Advancements in artificial intelligence a...

Risk-Tiered Governance for Hospital Artificial Intelligence: A Framework Synthesis and Implementation Pathway.

OBJECTIVES: Hospital artificial intelligence (AI) is increasingly embedded in electronic health record workflows, cloud inference pipelines, imaging, ...

Nursing as social control: An ethical perspective on care in dystopian contexts.

This article offers a comprehensive analysis of the representations of nursing and healthcare in contemporary and classic dystopian literature and fil...

Artificial intelligence, nursing, and social justice.

Principles for Responsible AI in Health Professions Education, Research, and Care: Health CARE-AI (Contextual, Accountable, Responsible, and Equitable Artificial Intelligence) Framework Delphi Consensus Study.

BACKGROUND: Artificial intelligence (AI) is rapidly integrating into health professions education and clinical practice, creating significant opportun...

Multilingual Voice AI for Postoperative Cataract Follow-Up in Turkish Speaking Patients in the United Kingdom: Patient and Public Involvement Focus Group Study.

BACKGROUND: Conversational voice AI assistants can automate postoperative follow-up calls in high-volume, low-complexity pathways such as cataract sur...

Non-Invasive Triage of Bladder Outlet Obstruction and Detrusor Underactivity in Men With Lower Urinary Tract Symptoms: A Narrative Review and Conceptual Framework for Depth-Aware Multimodal Transcutaneous Testing.

INTRODUCTION: Differentiating bladder outlet obstruction (BOO) from detrusor underactivity (DU) remains a major unmet need in the management of lower ...