Surveys

Prior Knowledge Shaped Dutch Parents' Attitudes Towards the Use of Artificial Intelligence in Paediatrics.

AIM: European parental views on artificial intelligence (AI) in paediatrics remain underexplored. This study addressed this gap by examining Dutch parents' attitudes and assessing how prior knowledge and brief educational interventions influenced their acceptance. METHODS: Dutch parents were recruited through Dynata, a large-scale survey distribution platform. Participants were randomly assigned t...

Comparing ChatGPT with healthcare provider responses to home parenteral nutrition questions.

BACKGROUND: Patients receiving home parenteral nutrition (HPN) face complex challenges and increasingly seek support online, including generative artificial intelligence (AI) platforms like ChatGPT. This survey study compared ChatGPT with clinician responses to common HPN-related questions. METHODS: Responses to 20 HPN-related questions spanning five content themes were generated by ChatGPT and pr...

Rethinking active learning in medical education: a comparative study of inquiry-based and team-based learning on student performance and satisfaction.

Active learning fosters critical thinking, autonomy, and deep learning. Whereas team-based learning (TBL) is common, inquiry-based learning (IBL) offe...

Reliability of Multimodal AI for Assessing Preclinical Stainless Steel Crown Preparations: A Comparative Study With Human Experts.

BACKGROUND: Artificial intelligence presents the potential to enhance consistency and objectivity in preclinical pediatric dentistry assessments. AIM:...

Combination of a modified dietary tool and spot urine collection: an improved method for daily sodium intake estimation.

PURPOSE: Recently, an improved food frequency questionnaire focused on assessing daily sodium (Na) intake (Food Frequency Questionnaire [FFQ]-Na: 73 q...

Development and validation of self-management education module of ChestCare app: Empowering healthy behaviours in chronic obstructive pulmonary disease.

ObjectiveIn this mixed-methods study, we aimed to develop a self-management education module within the ChestCare mHealth app, thus enabling patients ...

Acoustic and machine learning methods for speech-based suicide risk assessment: A systematic review.

Suicide remains a public health challenge, necessitating improved detection methods to facilitate timely intervention and treatment. This systematic r...

Enhancing Cultural Competence in Nursing Education Through Generative Artificial Intelligence Tools.

INTRODUCTION: Cultural competence is vital for nursing students providing patient-centered care. Generative artificial intelligence (AI) tools can enh...

Machine learning prediction of suicide attempts in major depression: Feature selection and model development using national survey data.

BACKGROUND: The study aimed to explore the risk factors of suicidal attempts (SA) in patients with major depressive disorders (MDD). METHODS: Cross-se...

Who Fears Generative Artificial Intelligence? Scale Development and Predictors of Fears Towards GenAI.

This study developed and validated the Fears Towards Generative Artificial Intelligence scale, a novel instrument assessing individuals' concerns abou...

From Likert Scales to Large Language Models: Validating a Computational Approach to Psychological Assessment of Future Self-Continuity.

Recent advances in Large Language Models (LLMs) offer new assessment approaches that can help overcome the limitations of traditional Likert-item scal...

Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, ...

ChatGPT in urogynecology: Comparing large language model responses to human experts.

INTRODUCTION: Large language models (LLMs) are increasingly used in healthcare, including urogynecology, where stigma may limit open discussion. LLM-b...

Comparative evaluation of ChatGPT and Gemini in brain-computer interfaces patient education: A multi-dimensional analysis of reliability, accuracy, comprehensibility, and readability.

BACKGROUND: Brain-Computer Interfaces (BCI) are a type of life-altering neurotechnology, but their inherent complexity poses significant challenges to...

Balancing Bias and Variance in Deep Learning-Based Tumor Microstructural Parameter Mapping.

PURPOSE: Time-dependent diffusion MRI enables quantification of tumor microstructural parameters useful for diagnosis and prognosis. Nevertheless, cur...

Criteria for Keratoconus Progression: A Systematic Review of Diagnostic Test Accuracy.

PURPOSE: The aim of this study was to perform a systematic review of diagnostic test accuracy of the criteria used to define keratoconus progression. ...

Understanding Nurses' Intention to Use Artificial Intelligence Technologies in Their Clinical Practice: A Survey-Based Configurational Analysis.

AIMS: The study focused on nurses' familiarity with, beliefs about, and attitudes towards artificial intelligence, aiming to identify configurations o...

Comparative analysis of human-generated versus Artificial Intelligence-drafted summary paragraphs for medical student performance evaluations.

PURPOSE: This study evaluated the efficiency and effectiveness of using Generative Artificial Intelligence (GenAI) to draft Medical Student Performanc...

Species delimitation within a taxonomically complex group: An example from the genus Apodemus (Rodentia: Muridae).

Species delimitation based on genetic data plays a critical role in taxonomy research, particularly for resolving taxonomically complex groups and det...

Comparisons of the reliability of airway measurements on cone beam computed tomography scans among human raters and a convolutional neural network.

OBJECTIVE: To evaluate the performance of commercially available AI tools in airway evaluation in clinical conditions. STUDY DESIGN: 100 anonymized co...