Clinical Trials

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for cataract surgery education compared with standard brochures. SETTING: University Hospital (UZ Brussel), Brussels, Belgium. DESIGN: Prospective, single-center, randomized controlled trial. METHODS: Adults scheduled for cataract operation were randomized...

Incremental Online Learning of Randomized Neural Network With Forward Regularization.

Online learning of deep neural networks faces challenges such as delayed non-incremental updating, increasing consumption, retrospective retraining, and catastrophic forgetting. To alleviate these drawbacks and achieve progressive immediate decision-making, we propose a novel Incremental Online Learning (IOL) framework of Randomized Neural Networks (Randomized NN), facilitating continuous improvem...

Comparing ambient scribes: a randomized crossover clinical trial addressing ambient scribe technologies' impact on physician burnout.

OBJECTIVE: This study aims to compare the effectiveness of 2 ambient AI scribe technologies in reducing physician burnout, improving workflow satisfac...

Between Algorithm and Instinct: A Phenomenological Study of Critical Care Nurses' Decision-Making in AI-Supported Care.

BACKGROUND: Artificial intelligence (AI) is rapidly reshaping critical care through predictive analytics, intelligent monitoring and decision-support ...

Artificial Intelligence for Food Packaging: A Life Cycle-Oriented Review of Material Performance, Functionality, Safety, and Sustainability.

Artificial intelligence (AI) has been increasingly applied to address challenges in food packaging, including food waste, sustainability, and real-tim...

Integration Analysis of Bayesian and Machine Learning for Heterogeneity, Biomarkers, and Optimal Combination Regimens of Pucotenlimab in Solid Tumors.

The efficacy of PD-1 inhibitor pucotenlimab (HX008) in solid tumors exhibits heterogeneity. This study integrated data from 6 clinical trials (coverin...

Current Status of Smart Technology Applications and Food Safety Implications in Precision Millet Fermentation: A Critical Review.

Millet fermentation has gained significant attention due to its numerous health benefits, owing to its higher dietary fiber and gluten-free properties...

Trends in accuracy management of continuous glucose monitoring systems.

Continuous glucose monitoring (CGM) has markedly advanced diabetes care by enabling real-time visualization of glycaemic variability, prevention of hy...

Risk prediction for linezolid-induced thrombocytopenia and exposure-guided safety optimization.

Linezolid (LZD)-associated thrombocytopenia (TP), a type of major hematotoxicity that can lead to the discontinuation of LZD treatment in patients wit...

Rational use of expensive medicines in the Netherlands: strategies to improve effectiveness and reduce burden on patients and society - a narrative review.

BACKGROUND: While new expensive medicines often offer substantial benefits to patients, they can carry inherent drawbacks such as uncertainty regardin...

Artificial intelligence-powered virtual standardized patients in teaching history-taking skills to medical students: a randomized controlled trial.

Evaluating AI-powered instruction on Computed Tomography Angiography (CTA) teaching outcomes: a systematic review and meta-analysis.

OBJECTIVE: To systematically evaluate the effectiveness of AI-assisted teaching in computed tomography angiography (CTA) training, focusing on theoret...

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery.

Rational design of interface passivators for perovskite solar cells is hindered by the entanglement of intrinsic molecular efficacy with extrinsic pla...

Neural Stem Cell-Derived Extracellular Vesicles: The Next Frontier in Neurological and Neurodegenerative Diseases.

The present manuscript provides a comprehensive overview of neural stem cell (NSC)-derived extracellular vesicles (NSC-EVs( as a cell-free approach to...

Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.

BACKGROUND: Accurately differentiating severe from nonsevere COVID-19 clinical types is critical for the health care system to optimize workflow. Curr...

Improving Long-Term Adherence to Endocrine Therapy Among Breast Cancer Survivors: Development of a Multiscale Modeling and Intervention System.

BACKGROUND: Breast cancer is a significant public health burden. Despite its critical role in preventing the recurrence of breast cancer, rates of lon...

Current Landscape of Mental Health Conversational Agents From a Trauma-Informed Care Lens: Scoping Review.

BACKGROUND: Conversational agents (CAs) are increasingly used in mental health care to enhance access and engagement. However, their safe, ethical, an...

A quantitative analysis of global AI medical studies: gaps in randomized controlled trials.

Medical artificial intelligence (AI) has advanced rapidly, yet a comprehensive quantitative overview of its clinical evaluation landscape remains lack...

Modeling the relationship between residents' happiness and human settlement quality: An IGSA-MLPNN-GARSON approach.

Understanding how the quality of human settlements affects residents' happiness is crucial for sustainable urban planning during rapid urbanization. T...

Anti-vascular endothelial growth factor therapy for posterior segment diseases: Progress, challenges, and the road ahead.

The emergence of anti-vascular endothelial growth factor (anti-VEGF) therapy has marked a paradigm shift in the treatment of retinal and choroidal vas...