Clinical Trials

Methodological Pluralism in Surgical Evidence: from Concept to Practice.

Evidence-based surgery has traditionally been framed through drug-development paradigms in which randomized controlled trials (RCTs) occupy a central position. Yet surgical innovation raises specific methodological challenges, including operator dependence, evolving techniques, learning curves, centre effects, and the centrality of patient-centred outcomes. This perspective article examines how sc...

Artificial Intelligence Technologies Supporting Clinical Judgement in Nursing: A Scoping Review.

AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and educational contexts. DESIGN: Scoping review. METHODS: JBI methodology for scoping reviews. DATA SOURCES: An electronic search was conducted on 1 July 2025 across MEDLINE, CINAHL, Scopus, Web of Science, and IEEE Xplore to identify studies published...

Shadow AI in Swedish Health Care: Qualitative Analysis of Physicians' Free-Text Answers.

BACKGROUND: The rapid emergence of artificial intelligence (AI) has outpaced its formal adoption in health care organizations, contributing to the eme...

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...

Artificial intelligence in antimicrobial stewardship: prediction, clinical applications, and implementation challenges.

BACKGROUND: Antimicrobial resistance (AMR) continues to threaten modern infectious diseases practice. Antimicrobial stewardship programs (ASPs) remain...

Artificial Intelligence in Psychiatric Graduate Medical Education.

OBJECTIVE: Psychiatry graduate medical education (GME) faces converging pressures of increasing clinical demand, rising administrative burden, and wor...

Artificial Intelligence-Assisted Triage in Emergency Departments: A Scoping Review of Clinical Applications, Outcomes, and Implementation Challenges.

OBJECTIVE: Emergency department (ED) triage determines patient prioritization, early risk recognition, and allocation of limited resources. Artificial...

Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial.

BACKGROUND: Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acu...

Developing a Histology-Based Artificial Intelligence Biomarker to Predict Adjuvant Chemotherapy Benefit in Pancreatic Cancer.

PURPOSE: The choice of adjuvant chemotherapy in pancreatic ductal adenocarcinoma (PDAC) is mainly guided by patients' general condition. We hypothesiz...

Can artificial intelligence training improve clinical decision-making during deep caries excavation?

A COMMENTARY ON: Ramezanzade S, Dascalu TL, Bakhshandeh A, Uribe SE, Ibragimov B, Bjørndal L. The impact of training dental students to use an artific...

Global research trends in artificial intelligence-integrated robot-assisted spine surgery: a bibliometric and visualized analysis.

This study aims to employ bibliometric analysis methods to systematically review the current research progress, developmental trajectory, and emerging...

Bigger Is Not Always Better: Computational Efficiency in Lexical Prehospital Triage Modeling.

INTRODUCTION: In future large-scale combat operations, military medics will likely face staggering numbers of casualties in the face of resource const...

The effectiveness of adding on or switching antiseizure medications after the first fails to control focal epilepsy: A systematic review of randomized controlled trials.

Focal epilepsy constitutes 60-70% of epilepsy, and up to half of patients do not achieve seizure freedom with their first antiseizure medication (ASM)...

Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program.

OBJECTIVE: Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better identify and characteriz...

AI-Generated Personalized Visualization of the Safe Place in Virtual Reality vs Traditional Safe Place Imagery: Randomized Controlled Trial.

BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects o...

[Perception of the impact of AI medical scribes on quality of care: cross-sectional study in pre-implementation phase in a pediatric hospital].

BACKGROUND: Ambient artificial intelligence scribes (AI scribes) are emerging as tools to optimize clinical documentation, although the need persists ...

AI awareness, AI fear of missing out, and work demotivation as pathways to occupational strain in Vietnamese hospitality employees.

Artificial intelligence (AI) is reshaping hospitality work and changing how employees perceive occupational risks and their capacity to adapt. How the...

Epitope-Specific IgE Profiles are Predictive of Desensitization and Remission in the IMPACT Trial.

BACKGROUND: Results from the IMPACT trial suggest that initiation of peanut oral immunotherapy (pnOIT) before age 4 years can increase chances of achi...

Artificial intelligence and machine learning in pharmaceutical research and healthcare: Ethical challenges and a framework for responsible implementation.

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are transforming pharmaceutical research and healthcare by enabling analysis of lar...

AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial.

The accurate and timely diagnosis of inherited retinal diseases (IRDs) represents an unmet clinical need in ophthalmology, as the current pathways rel...