Clinical Trials

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 degrade diagnostic image quality. Most existing physics-informed reconstruction methods rely on raw projection-domain measurements to enforce data consistency, although sinogram data are rarely retained in routine clinical workflows. To address this lim...

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, discrepancies remain between recommendations and real-world practice. Therefore, we aimed to assess the efficacy of adjuvant chemotherapy in patients with gallbladder cancer and used machine learning-based risk stratification to predict recurrence to ...

Clinical and Sustainability Outcomes of Humanitarian Otolaryngology Programs: A Scoping Review.

OBJECTIVE: To investigate clinical outcomes, safety, and sustainability of humanitarian otolaryngology outreach programs in low- and middle-income cou...

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...

DCPM-ADMET: fusion of dual-component pre-trained model and molecular fingerprints to enhance drug ADMET properties prediction.

The absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties of drugs are critical to their efficacy and safety in clinical tr...

DeepSynBa: Actionable Drug Combination Prediction with Complete Dose-Response Profiles.

Many cancer monotherapies demonstrate limited clinical efficacy, making combination therapies a relevant treatment strategy. The extensive number of p...

Global research trends and thematic evolution in fluorescence-guided robot-assisted urologic surgery: a bibliometric and visualized study.

Fluorescence-guided imaging has increasingly been integrated into robot-assisted urologic surgery to improve intraoperative visualization of vascular ...

Barriers and enablers for publishing results of randomized trials: a cross-sectional survey of principal investigators in sub-Saharan Africa.

OBJECTIVES: To investigate the views and experiences of principal investigators (PIs) based in sub-Saharan Africa (SSA) regarding publication bias of ...

Integrating Psychosocial Factors into Artificial Intelligence Models for Predicting Addiction Treatment Outcomes: A Systematic Review.

INTRODUCTION: The integration of artificial intelligence (AI) into addiction research has expanded rapidly, yet it remains unclear how psychosocial, b...

Regulating digital surgery to balance safety and innovation: a SAGES white paper.

BACKGROUND: Digital surgery technologies, including robotic systems, artificial intelligence (AI) algorithms, augmented reality platforms, and advance...

Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability in nursing interns.

BACKGROUND: To determine the levels of attitudes toward artificial intelligence(AI), creative self-efficacy, and problem-solving ability among nursing...

Metagenomic analysis of water column samples collected from Green Canyon 233 prior to the Deepwater Horizon incident.

UNLABELLED: The Gulf of Mexico/Gulf of America provides ecosystem services derived from marine biodiversity and oil and gas resources. Threats posed b...

The Digital Mirror: Clinical Potentials and Relational Risks of Generative AI in Mental Health Interventions.

PURPOSE OF REVIEW: This review explores the rapidly evolving integration of Generative Artificial Intelligence (GenAI) in mental health care. It aims ...