Clinical Trials

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 launching shafts, TRD (Trench cutting Re-mixing Deep wall) has been widely applied in shield launching projects, while its stability evolution and failure mechanism remain insufficiently understood. To address this issue, a coupled theoretical model based...

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 principal targets of IVF laboratory automation, and a fourth strand of work, integrated end-to-end laboratory automation, has produced its first peer-reviewed clinical evidence in 2026. Clinician-side automation in the same ART cycle has an older, b...

Randomized Controlled Trial of Large Language Model-Assisted Diagnostic Accuracy in Nephrology.

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...

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...

Sinogram-Free Low-Dose CT Reconstruction via Differentiable Radon-Regularized Optimization Unrolling.

Reducing X-ray dose in computed tomography (CT) is essential for patient safety; however, low-dose acquisitions introduce noise and artifacts that deg...

In vivo validation of multimodality pore-network modeling to identify angio-permissive scaffold porosity.

BACKGROUND: Successful vascular tissue regeneration in vascular and soft-tissue biomaterials is governed not by bulk volumetric porosity, but by the e...

Real-World Application of a Machine Learning-Based Early Recurrence Model for Guiding Adjuvant Chemotherapy Use in Patients with Gallbladder Cancer.

BACKGROUND/AIMS: Although recent randomized controlled trials have reported the efficacy of adjuvant chemotherapy for resected biliary tract cancer, d...

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study.

BACKGROUND: Clinical guidelines recommend a stepped-care strategy for patients with hip and knee osteoarthritis that begins with nonoperative approach...

Machine Learning Prediction of Heart Failure Readmissions: Insights From a Multicenter Emergency Department Trial.

BACKGROUND: Heart failure (HF) readmissions remain common and costly, yet existing prediction models show limited clinical utility, particularly at th...

Efficacy and Hepatotoxicity of Psoralea corylifolia L.: A Meta-Analysis and Machine Learning Assessment in Postmenopausal Osteoporosis.

ETHNOPHARMACOLOGICAL RELEVANCE: Psoralea corylifolia L. (P. corylifolia, also known as Cullen corylifolium (L.) Medik.) is a traditional medicinal her...

AI self-efficacy and anxiety among university teachers.

With the rapid integration of AI into higher education, teachers' psychological responses are critical for technology adoption. This study examines AI...

Patient Trust in AI-generated Medication Information and the Role of Clinical Pharmacists in Preventing Medication-related Safety Risks: A Cross-sectional Survey.

BACKGROUND: To assess patient trust in AI-generated medication information, examine associated behavioral safety risks, and evaluate patient expectati...

AI in the NICU: Considerations for Nursing Practice and Advocacy in Quality Care Outcomes for Patients and Families.

BACKGROUND: Neonatal nurses and APRNs may not recognize when AI drives an alert, recommendation, or summary unless training and policy make it explici...

Global Research Trends and Thematic Evolution in Robotic Surgery for Obstructive Sleep Apnoea: A Bibliometric and Visualisation Study.

To systematically identify research trends, collaborative patterns, thematic developments and emerging areas of interest in the field of robotic surge...

Treatment-aware deep learning enables counterfactual prediction of individual benefit from PARP inhibitors in ovarian cancer.

Homologous recombination deficiency (HRD) assays are used to select patients with ovarian cancer for PARP inhibitors, but they do not fully capture th...