Surveys

Non-invasive periodontal screening using self-reported-oral-health (SROH) questionnaire and salivary biomarkers: development and validation of machine learning models.

BACKGROUND: Accurate and accessible screening tools for periodontitis are essential for early detection and disease prevention. This study evaluated a non-invasive diagnostic approach integrating sociodemographic data, self-reported oral health (SROH) questionnaires, and salivary biomarkers, using both conventional statistical and machine learning (ML) predictive models. METHODS: Seventy-seven adu...

Biobanking: IoT, safety challenges and security prospects.

The biobank is a functional unit that facilitates and improves research by storing biological samples and associated data. As such, it is a key resource for advancing the life sciences. New information and communication technologies, including the Internet of Things (IoT), have positively improved biobanks by making it easier to query, share and manage resources. Based on this technology, several ...

Mediating effects of artificial intelligence readiness and self-efficacy on innovative behavior in Chinese standardized training nurses: a structural equation model study.

BACKGROUND: Innovative behavior is crucial for enhancing clinical efficiency, promoting patient recovery, and advancing the nursing discipline. As an ...

Deep learning in image forgery: A systematic review for risk of bias (RoB).

Image forgery (IF) is a critical issue that can lead to the misinterpretation of visual information. Conventional strategies for IF detection are prim...

Evaluating the Quality of AI-Generated Rubrics and Grading Reliability in Student Written Reflection Assignments.

OBJECTIVE: To investigate whether generative artificial intelligence (genAI) can improve pharmacy assessment practices, specifically rubric developmen...

Evaluation of the accuracy, consistency, and scientific reliability of AI-powered Chatbots in endodontic practice.

OBJECTIVE: This study aimed to evaluate the accuracy, consistency, and scientific reliability of two AI-powered chatbots-ChatGPT-3.5 and ChatGPT-4o-in...

Value based healthcare estimation values for benchmarking among Spanish Hospitals for four health problems.

INTRODUCTION: Describe a methodological proposal and value-based ratio calculations based in real-world hospital-care episodes in Spain, serving as co...

Current status and determinants of artificial intelligence-related anxiety among healthcare professionals: A cross-sectional survey study.

AIM: The rapid development of artificial intelligence (AI) has triggered various forms of anxiety among healthcare professionals. This study aimed to ...

Content Validation of the AI-TPACK-E: Assessing AI Literacy Among Nurse Educators.

There is a critical need to assess nurse educators' competencies in artificial intelligence (AI), yet no validated assessment tool currently exists to...

Development of an artificial intelligence prediction model for moderate-to-severe COPD exacerbations using continuous multiple unobtrusive sensors: protocol of a multicentre prospective observational study.

INTRODUCTION: Exacerbations, impaired health-related quality of life (HRQoL) and reduced exercise capacity increase the risk of hospitalisations and d...

Development, validation, and user-centric evaluation of an interpretable machine learning decision support tool for the preoperative prediction of mild bleeding disorders (MBD-Check): a prospective diagnostic prediction study.

BACKGROUND: Mild bleeding disorders are the most common inherited bleeding disorders, often leading to perioperative haemorrhages. Preoperative screen...

Measuring human capital with social media data and machine learning.

Timely data on educational attainment at granular geographic levels remains scarce in many countries, limiting evidence-based policy-making. Recent ad...

Beyond composite scores in chronotype assessment: item-level predictive patterns in the Morningness-Eveningness Questionnaire.

Chronotype represents individual differences in circadian preferences that influence sleep-wake patterns, cognitive performance, and clinical outcomes...

A predictive model for flow index performance of pit drip irrigation emitters using BP-PSO algorithm.

It is crucial to accurately obtain the flow index in designing and developing labyrinth drip irrigation emitters. This study designed a pit drip irrig...

Readability, quality, and reliability of AI-generated ınformation on myofascial pain syndrome: A comparative analysis of ChatGPT, Gemini, and Perplexity.

Patients seeking information about Myofascial Pain Syndrome (MPS), which affects a large segment of the population, are increasingly turning to AI-bas...

AI-based burn image assessment: Reliability and clinical error patterns of multimodal large language models in a repeated-inference study.

Accurate assessment of burn depth and total body surface area (TBSA) is critical for clinical decision-making; however, it remains subjective and pron...

Assessing pediatricians' readiness for artificial intelligence: a cross-sectional study in Istanbul, Türki̇ye.

BACKGROUND: Artificial intelligence (AI) is increasingly integrated into healthcare, including pediatrics, offering new opportunities for diagnosis, m...

A systematic review of machine learning algorithms for mortality risk, readmission and phenotype prediction in patients with heart failure: exploring key data sources, input variables and outcomes.

BACKGROUND: Heart failure is not only a prevalent disease with a high mortality rate, but also generates high costs for healthcare systems. By trainin...

Connected-speech digital biomarkers for monitoring transcranial pulse stimulation in Alzheimer's disease: A pilot study.

BackgroundAlzheimer's disease (AD) lacks effective disease-modifying therapies and scalable, ecologically valid biomarkers to monitor treatment respon...

Externally Tested AI Models for Malignancy Classification of Lung Nodules at Chest CT: A Systematic Review and Meta-Analysis.

Purpose To evaluate the pooled diagnostic accuracy of externally tested AI models for malignancy classification of lung nodules on chest CT. Materials...