Clinical Trials

Comparative evaluation of information quality, readability, and guideline consistency of large language model-generated educational content on hemodialysis complications: a cross-sectional assessment of generative AI-driven chatbots.

BACKGROUND: Large language models are increasingly becoming a key resource for hemodialysis patients to access information on disease management. However, the information reliability, readability, and guideline concordance of LLM-generated hemodialysis-related educational texts remain insufficiently evaluated. METHODS: This study identified 42 dialysis-related questions from an initial pool of 200...

Predicting fire consequences with the transformer model based on multimodal feature fusion.

Accurate prediction of fire consequences is fundamental to process safety management and quantitative risk assessment in the chemical process industries. Traditional empirical and computational fluid dynamics models often struggle to balance computational efficiency with predictive accuracy, especially when considering the complex interplay between molecular properties and process conditions. To a...

Neuromodulation techniques for managing overactive bladder.

Overactive bladder (OAB) represents a significant burden and has a considerable impact on the quality of life (QoL) of affected patients. The treatmen...

An interpretable 1⁸F-PSMA PET/CT-MRI model for optimizing prostate biopsy decisions.

PURPOSE: Distinguishing indolent from clinically significant prostate cancer (csPCa) in biopsy-naïve men remains a diagnostic challenge, often leading...

Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics.

Artificial intelligence (AI) methods, including machine learning (ML), are transforming healthcare by enabling personalized interventions that integra...

Affective processes in perceived inclusive EFL classrooms: Linking self-efficacy, engagement, resilience, and attitudes toward generative AI.

Inclusive education, extending beyond classroom access to emphasize affective support, equitable participation, and learner diversity, frames this stu...

Effectiveness of a generative AI-powered digital tutor integrated with a knowledge graph in anatomy education for nursing students: a randomized controlled trial.

BACKGROUND: Human Anatomy and Histology & Embryology are foundational courses in nursing education but are often challenging for students due to their...

Application of AI-assisted PBL-CBL combined teaching in the diagnosis and treatment of post-herpetic neuralgia: a randomised controlled trial.

BACKGROUND: This study aimed to explore the efficacy of a teaching model integrating artificial intelligence-assisted problem-based learning (PBL) wit...

Virtual crystal violet chromoendoscopy: a digital alternative to dye-based staining.

BACKGROUND AND AIMS: Routine use of crystal violet (CV) chromoendoscopy for pit pattern-based colorectal lesion characterization is limited by safety ...

A machine learning-derived speech index as a biomarker for Huntington's disease severity.

BACKGROUND: The development of disease-modifying therapies for Huntington's disease (HD) necessitates sensitive, scalable, and objective biomarkers fo...

Effect of a Personalized Mobile Health Intervention Using Artificial Intelligence (the WARIFA App) Versus a Nonpersonalized Intervention on User-Defined Objectives, Healthy Lifestyles, and Management of Type 1 Diabetes (T1D): Protocol for a Randomized Controlled Trial.

BACKGROUND: Noncommunicable diseases are the leading cause of death worldwide. Cardiovascular and respiratory diseases, cancer, and type 2 diabetes sh...

Beyond the digital health tsunami: reaffirming biomedical and health informatics as the scientific foundation of digital healthcare transformation.

Digital health (DH) has emerged as the dominant terminology for technology-enabled healthcare, reshaping institutional discourse, educational programm...

LSTM-based safety-oriented prediction of big toe skin temperature in extreme cold conditions for mountaineering footwear evaluation.

This study proposes a safety-oriented framework for the assessment of mountaineering footwear insulation in extreme cold environments. A novel metric,...

Machine learning based hepatic safety score predicts decompensation in hepatocellular carcinoma systemic therapy.

Hepatocellular carcinoma (HCC) frequently coexists with portal hypertension, significantly increasing the risk of hepatic decompensation (HD) and vari...

Using Machine Learning Methodology to Identify Predictors of Non-Response to MTSS-B: a Focus on Discipline Problems and Juvenile Justice Involvement.

Multi-tiered systems of support for behavior (MTSS-B) is a widely-used tiered preventive intervention currently used in over 25,000 schools across the...

Effectiveness of tele-rehabilitation using AI-guided exercise and pain neuroscience education for fibromyalgia (FIBROIA): Protocol for a randomized controlled trial.

INTRODUCTION: Fibromyalgia (FM) is a chronic condition characterized by widespread pain and cognitive dysfunction, with pharmacological treatments off...

A Comparison of Different Models to Recommend Variables for Research Data Requests to German Cancer Registries.

Cancer registry data is an important resource in cancer research, e.g. to formulate hypotheses for new interventions, to identify recruitment potentia...

Bridging Expertise with Algorithms: Evaluation of Generative AI in Nursing Decisions.

Integrating generative artificial intelligence (GenAI) into nursing clinical decision-making (CDM) offers potential to bridge expertise gaps. This ran...

Advancing Knowledge in Evaluating the Clinical Impact of Large Language Models for Clinical Text Summarization: A Narrative Review.

Large language models (LLMs) are increasingly explored for clinical text summarization from electronic health records (EHRs), where they could reduce ...

Aligning AI-Native 6G Healthcare Systems with EU Ethical and Legal Frameworks.

The convergence of AI, robotics, and 6G networks is reshaping healthcare through real-time This paper applies a structured regulatory-technical analys...