Clinical Trials

Biomarkers in facioscapulohumeral muscular dystrophy.

PURPOSE OF REVIEW: Facioscapulohumeral muscular dystrophy is one of the most frequent myopathies. Its clinical presentation and genetic background are unique. FSHD needs reliable and measurable biomarkers to monitor the disease and assess the efficacy of therapeutic approaches. The purpose of this review is to summarize and focus on the most recent evidence regarding the different available biomar...

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, the comparative effectiveness of navigation, robotic-assisted, and artificial intelligence-assisted systems remains unclear, particularly for the technically demanding direct anterior approach (DAA).To systematically review and meta-analyze the compara...

Using artificial intelligence in clinical practice: Royal Australasian College of Physicians position statement.

The Royal Australasian College of Physicians (RACP) has recently issued a position statement titled 'Using artificial intelligence in clinical practic...

Large Language Models for Optimizing Patient Recruitment Decisions in Voice Data Generation Projects.

OBJECTIVES: Past studies have shown that many clinical machine learning models have performance limitations due to imbalances in the training data. Fo...

Advancing Nursing Practice Through Simulation: Enhancing Competency, Quality and Patient Outcomes.

Simulation has become an essential strategy for advancing nursing practice, clinical competence, patient safety and healthcare system performance. As ...

Pre-pandemic preventive healthcare engagement and all-cause excess mortality during COVID-19: a county-level ecological study in the United States.

OBJECTIVE: Community resilience during COVID-19 has been linked to social conditions, public-health capacity, and acute-care resources, but the contri...

Advances in multimodal data integration for drug efficacy prediction: Methodological evolution and clinical translation.

Drug efficacy prediction remains a cornerstone of drug development and precision therapy. However, integrating heterogeneous biomedical data, includin...

Robotic-referenced automated measurement of acetabular cup orientation on postoperative CT: development and internal validation.

Accurate measurement of acetabular cup orientation after total hip arthroplasty is essential, but postoperative CT relies on subjective, error-prone m...

Machine Learning-Guided Personalized Immunochemotherapy Strategies in Intrahepatic Cholangiocarcinoma.

BACKGROUND & AIMS: Immunochemotherapy (IO-chemo) has become standard care for patients with unresectable intrahepatic cholangiocarcinoma (iCCA), but b...

Real-time Production Line Safety Monitoring Using Deep Learning-based Object Detection and Feature Enhancement.

With the deepening of Industry 4.0, the automation and intelligence levels of production lines have significantly improved, placing higher demands on ...

Development of a hybrid artificial intelligence framework for pharmacotherapy optimization.

INTRODUCTION: Pharmacotherapy optimization in multimorbid patients is increasingly complex due to polypharmacy, fragmented data, expanding electronic ...

Ethics of Autonomous AI Clinical Trials: Delphi Study.

BACKGROUND: Safe implementation of autonomous AI in medicine requires rigorous evaluation through clinical trials. The 7 guiding principles for ethica...

Patient Stratification for Improving Acute Chest Pain Management and Mitigating Emergency Department Crowding: Machine Learning Model Development and Validation.

BACKGROUND: Acute chest pain (ACP) is one of the most common chief complaints in the emergency department (ED), accounting for approximately 8% of all...

A Human-Governed Clinical Informatics Framework for Safe AI-Assisted Mental Health Counseling: Secondary Framework Development and Requirement Mapping Study.

BACKGROUND: Natural language processing and large language model systems are increasingly used to support mental health documentation, screening, and ...

Systematic assessment of the medical utility of radiology and diagnostic Artificial Intelligence in fracture detection (SAMURAI-fracture): a protocol for a multicentre cluster-randomised controlled trial.

INTRODUCTION: Fracture misdiagnosis is a common diagnostic error in emergency departments (EDs) and minor injury units (MIUs), leading to poor patient...

Robot-assisted rehabilitation therapy for adhesive capsulitis: A pilot randomized controlled trial on clinical and patient-reported outcomes.

BACKGROUND: Adhesive capsulitis, commonly known as frozen shoulder, presents with pain and restricted movement. Treatments include physical therapy fo...

Single-photon emission computed tomography/computed tomography-based radiomics of bone metastases for predicting epidermal growth factor receptor mutation status and targeted therapy efficacy in non-small-cell lung cancer.

BACKGROUND: This study aimed to develop a single-photon emission computed tomography/computed tomography (SPECT/CT)-based radiomics model using bone m...

Long-term microbiome and clinical effects of a microbiome-guided personalized diet versus low-FODMAP diet in irritable bowel syndrome: A 12-month follow-up randomized controlled trial.

Dietary therapy is central to irritable bowel syndrome (IBS) management, yet the long-term durability of the low-FODMAP diet (LFD), and of microbiome-...

AI-assisted second forward-view examination of the right colon significantly improves the adenoma detection rate: a multicenter randomized controlled trial.

BACKGROUND: Adenomas in the right colon are likely to be missed during colonoscopy because of anatomical complexity and lesion characteristics. Althou...

AI-derived Histopathological Signatures Are Associated With Response to Mepolizumab in Chronic Rhinosinusitis With Nasal Polyps.

BackgroundChronic rhinosinusitis with nasal polyps (CRSwNP) is a heterogeneous inflammatory disease with variable response to biologic therapy. Tissue...