Clinical Trials

The effect of social robot interventions on anxiety in children in clinical settings: a systematic review and meta-analysis.

AIMS: Children in clinical settings are prone to anxiety due to developmental limitations, which hinders treatment progress. This systematic review and meta-analysis aimed to evaluate the efficacy of social robot interventions compared to routine care or alternative non-pharmacological strategies in reducing anxiety among children aged 4-12 years undergoing medical procedures in clinical settings,...

Recent advances in therapeutic probiotics: insights from human trials.

SUMMARYRecent advances in therapeutic probiotics have shown promising results across various health conditions, reflecting a growing understanding of the human microbiome's role in health and disease. However, comprehensive reviews integrating the diverse therapeutic effects of probiotics in human subjects have been limited. By analyzing randomized controlled trials (RCTs) and meta-analyses, this ...

[Acute respiratory distress syndrome-quo vadis : Innovative and individualized treatment approaches].

Acute respiratory distress syndrome (ARDS) is a heterogeneous clinical syndrome characterized by variable pathophysiology and different therapeutic ap...

Social robot PIO intervention for improving cognitive function and depression in older adults with mild to moderate dementia in day care centers: A randomized controlled trial.

The increases in the older population, the prevalence of dementia, and the resulting social costs are burdensome to individuals, families, and the nat...

AO Spine Clinical Practice Recommendations for Diagnosis and Management of Degenerative Cervical Myelopathy: Evidence Based Decision Making - A Review of Cutting Edge Recent Literature Related to Degenerative Cervical Myelopathy.

Study DesignLiterature review of key topics related to degenerative cervical myelopathy (DCM) with critical appraisal and clinical recommendations.Obj...

Coptidis rhizoma and berberine as anti-cancer drugs: A 10-year updates and future perspectives.

Cancer continues to be among the most substantial health challenges globally. Among various natural compounds, berberine, an isoquinoline alkaloid obt...

Effect of Uncertainty-Aware AI Models on Pharmacists' Reaction Time and Decision-Making in a Web-Based Mock Medication Verification Task: Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI)-based clinical decision support systems are increasingly used in health care. Uncertainty-aware AI presents t...

Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy.

This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n...

Integrative neurorehabilitation using brain-computer interface: From motor function to mental health after stroke.

Stroke remains a leading cause of mortality and long-term disability worldwide, frequently resulting in impairments in motor control, cognition, and e...

Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial.

BACKGROUND: The STANDFIRM (Shared Team Approach Between Nurses and Doctors for Improved Risk Factor Management; ANZCTR registration ACTRN1260800016637...

Hyperspectral Imaging and Deep Learning for Quality and Safety Inspection of Fruits and Vegetables: A Review.

Quality inspection of fruits and vegetables linked to food safety monitoring and quality control. Traditional chemical analysis and physical measureme...

Testing a Machine Learning-Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial.

BACKGROUND: Individuals who are socioeconomically disadvantaged have high smoking rates and face barriers to participating in smoking cessation interv...

DeepGuard: real-time threat recognition using Golden Jackal optimization with deep learning model.

Violence recognition in surveillance videos is a vital feature of current security systems. It can improve complete security measures, making it essen...

Machine learning approaches for assessing medication transfer to human breast milk.

The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determi...

Achieving precision assessment of functional clinical scores for upper extremity using IMU-Based wearable devices and deep learning methods.

Stroke is a serious cerebrovascular disease, and rehabilitation following the acute phase is particularly crucial. Not all rehabilitation outcomes are...

Improved Solubility Predictions in scCO Using Thermodynamics-Informed Machine Learning Models.

Accurate solubility prediction in supercritical carbon dioxide (scCO) is crucial for optimizing experimental design by eliminating unnecessary and cos...

Artificial intelligence vs. human coaches: examining the development of working alliance in a single session.

The collaborative relationship, or working alliance, between a client and their coach is a well-recognized factor that contributes to the effectivenes...

Longitudinal brain age in first-episode mania youth treated with lithium or quetiapine.

It is unclear if lithium and quetiapine have neuroprotective effects, especially in early stages of bipolar and schizoaffective disorders. Here, an ag...

Integrating Machine Learning and Bulk and Single-Cell RNA Sequencing to Decipher Diverse Cell Death Patterns for Predicting the Prognosis of Neoadjuvant Chemotherapy in Breast Cancer.

Breast cancer (BRCA) continues to pose a serious risk to women's health worldwide. Neoadjuvant chemotherapy (NAC) is a critical treatment strategy. Ne...

Perceived Racism, Brain Development, and Internalizing and Externalizing Symptoms: Findings From the ABCD Study.

OBJECTIVE: Racial discrimination drives health disparities among racial/ethnic minority youth, creating chronic stress that affects brain development ...