Clinical Trials

Observational multicentre registry to update key interventions and new approaches with artificial intelligence for heart failure (OKINAWA-HF): a retrospective medical record-derived registry study protocol.

INTRODUCTION: The efficacy of guideline-directed medical therapy (GDMT) for heart failure has been established in clinical trials, but trial populations differ substantially from real-world clinical practice. Consequently, the real-world status of GDMT implementation, the patient-level factors that determine whether guideline-recommended targets are achieved and the clinical circumstances that lim...

IL4Rα blockade inhibits proliferation of malignant lymphocytes and the immunosuppressive tumor microenvironment of mycosis fungoides.

BACKGROUND: Limited therapeutic options are available for patients with advanced-stage mycosis fungoides (MF), and the 5-year survival rate is 25%. Due to its critical role in MF pathogenesis, the IL4/IL13 pathway presents a promising target for treatment. Here, we analyzed blocking of IL4Rα, the common subunit of the IL4 and IL13 receptors, within the advanced-stage MF cutaneous tumor microenviro...

An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study.

BACKGROUND: Primary biliary cholangitis (PBC) management remains limited by reliance on static biochemical markers, fragmented assessment of symptom b...

A multi-scale, circuit-to-gene signature of approach-bias modification in internet gaming disorder.

BACKGROUND: Approach-bias modification (ApBM) is a cognitive training intervention with potential therapeutic value for internet gaming disorder (IGD)...

Circadian Rhythm Stabilization App to Prevent Mood Episode Recurrence in Patients With Mood Disorders: A Multicenter, Double-Blind, Sham-Controlled, Randomized Clinical Trial.

OBJECTIVE: Preventing recurrence is essential for improving the clinical course of major depressive disorder (MDD) and bipolar disorder (BD). The auth...

Segmenting Older Adults by Their Acceptance of Digital Health Care Devices: Cross-Sectional Study Using the Augmented Technology Acceptance Model and K-Means Clustering.

BACKGROUND: Population aging has become a critical global challenge, with South Korea entering a super-aged society and facing rapidly increasing heal...

Fine-Tuning Large Language Models for Motivational Interviewing in Health Behavior Change: Development and Evaluation Study.

BACKGROUND: Motivational interviewing (MI) is an effective counseling approach for promoting health behavior change, but its scalability is constraine...

Effectiveness of Artificial Intelligence-Assisted Peer Teaching in Orthopedic Clinical Education: Historical Cohort Study.

BACKGROUND: Peer teaching is an established pedagogical approach in medical education; yet, traditional methods face challenges including inconsistent...

Effects of biologic and targeted synthetic disease modifying antirheumatic drugs (b/tsDMARDs) on patient-reported outcome domains in rheumatoid arthritis: a systematic review and network meta-analyses.

INTRODUCTION: Evidence from head-to-head comparisons of biologic/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs) on patient-repo...

Leveraging simulation to provide a practical framework for estimating the novel scope of risk of large language models in healthcare.

BACKGROUND: Large language models (LLMs) are rapidly entering clinical and consumer use, yet their probabilistic outputs have delivered a variety of u...

Improving decision reliability in transport safety engineering through a machine learning-based model.

Ensuring defensible policy inferences and robust decision reliability is fundamental for multi-criteria decision-making activities, particularly in tr...

XGBoost-based intelligent response assessment model for stability of TRD-reinforced shield tunnel launching adjacent to river.

Shield tunnel launching adjacent to a river is a typical high-risk problem in urban underground engineering. As a novel reinforcement method for launc...

Automation in the IVF laboratory in 2026: four technology domains, an asymmetric evidence base, and the case for parallel development with clinician-side automation.

BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and intracytoplasmic sperm injection (ICSI)-have been the...

Preoperative considerations for nonoperating room anesthesia.

PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesthesia (NORA) locations, emphasizing the importance ...

Efficacy and safety of multiple treatments for small hepatocellular carcinoma: an updated systematic review and component network meta analysis.

BACKGROUND: This is an updated component network meta-analysis to evaluate efficacy and safety of various therapeutic approaches and their combination...

Turkish adaptation of the Artificial Intelligence Self-Efficacy Scale (AISES) and its role in prospective teachers' intentions to use AI in classroom practices.

BACKGROUND: With groundbreaking advancements in digital technologies, AI tools have been adopted in everyday life in a short time, including in educat...

Embodied movement markers of alliance ruptures in psychotherapy: A machine learning study.

OBJECTIVE: Alliance ruptures are central to psychotherapy process and outcome, yet therapists often fail to detect them in real time, particularly wit...

Combining Network Pharmacology, Machine Learning, Molecular Docking, and Experimental Validation to Explore the Mechanism of Danggui-Shaoyao-San in treating Rheumatoid arthritis.

BACKGROUND: Danggui-Shaoyao-San (DSS) demonstrates clinical efficacy in rheumatoid arthritis (RA), but its bioactive constituents and molecular mechan...

Coronary computed tomography angiography to guide percutaneous coronary intervention: proceedings from the 1st CCTA-guided PCI summit in the United States.

Coronary computed tomography angiography (CCTA) can be used beyond diagnostic purposes to support the preprocedural planning of percutaneous coronary ...

Unit dose drug dispensing systems in hospitals: a systematic review of medication error reduction and cost-effectiveness.

BACKGROUND: Medical errors pose significant risks to patient safety and public health. Automated unit dose drug dispensing systems (UDDSs) have emerge...