Surveys

[The Structured Information Collection as a data source for AI applications: a qualitative study of data quality].

The Structured Information Collection as a data source for AI applications: a qualitative study of data quality Abstract: Background: Artificial intelligence (AI) to support nursing care planning is gaining attention. However, the effectiveness and reliability of AI-based applications depend on the quality of training data. Objective: This study examines to what extent nursing needs documented wit...

Sex estimation from first rib 3D morphometry in a Thai population: Establishing baseline standards through comparative evaluation of traditional statistical and machine learning approaches.

Sex estimation from skeletal remains is fundamental to forensic identification. The first rib demonstrates enhanced preservation through superior cortical density and protected positioning, yet population-specific standards for Thai populations remain absent. To establish the first sex estimation standards from first rib morphometry in Northeastern Thai populations and evaluate comparative perform...

Artificial Intelligence Enhanced Content Review for Curriculum Evaluation in Nursing Education: A Pilot Study.

BACKGROUND: Curricular evaluation is core to nursing education and can benefit from artificial intelligence-based automation. Large language models of...

Portraying Ethical Risks of Medical AI: Mixed Methods Study From Connotation Definition to a Survey on Physicians' Cognition.

BACKGROUND: Ethical risks of medical artificial intelligence (AI) are a global concern, but existing understanding remains fragmented without an integ...

Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis.

BACKGROUND: Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) post partum, with up to...

Development and validation of a disease-syndrome integrated assessment model for AECOPD severity: protocol for a nationwide multicentre cross-sectional study.

INTRODUCTION: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) accelerate disease progression and increase mortality. Accurate se...

ACADPro: XAI-student procrastination classification in academia using optuna optimized machine learning models.

Academic procrastination plays a substantial role in determining the achievements of students. This study develops a novel framework that would allow ...

A multimodal artificial intelligence system integrating facial expression voice emotion and behavioral movement analysis for assessing social-emotional competence in preschool children.

Early identification of social-emotional difficulties in preschool children is critical for timely intervention, yet conventional assessment methods f...

Performance of leading large language models in adhering to clinical guidelines for anaplastic thyroid cancer: a comparative study.

Anaplastic thyroid cancer (ATC) is a rare, aggressive malignancy with poor prognosis. Adherence to guidelines from the National Comprehensive Cancer N...

Machine Learning to Identify Bacteremia and Meningitis in Febrile Infants: A Systematic Review.

CONTEXT: The accurate identification of febrile infants who are at risk for invasive bacterial infections (IBIs), ie, bacteremia and meningitis, is es...

Evaluating the quality, reliability and readability of digital and artificial intelligence resources for adults with cancer who have significant caregiving responsibilities for children.

Families often report searching the internet for guidance on how best to support children when a significant adult has cancer. This study aimed to ide...

Agreement, calibration, and failure of three large language models as high-stakes multimodal ospe graders: a comparative psychometric analysis.

BACKGROUND: Medical education faces increasing demand for scalable grading solutions. Large language models have been proposed as automated graders fo...

Heterogeneous wealth-related differences in modern contraceptive use in Bangladesh: a machine learning-based g-computation analysis of the DHS 2022 cross-sectional survey.

BACKGROUND: Conventional logistic regression estimates a single population-average odds ratio (OR), masking heterogeneity in how social determinants a...

Enhancing the Effectiveness of Attention-Deficit/Hyperactivity Disorder Screening Using the SNAP-IV: A Deep Learning Approach.

Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition requiring early and accurate identification to optimize outco...

Comprehensive Performance Testing and External Validation of an AI Algorithm to Detect and Segment Brain Metastases.

BACKGROUND: Artificial intelligence (AI)-based models have shown initial promise in imaging brain metastasis; however many lack validation against adv...

Systematic review of risk prediction models for autogenous arteriovenous fistula dysfunction in maintenance hemodialysis patients.

OBJECTIVE: To systematically evaluate existing risk prediction models for autogenous arteriovenous fistula (AVF) dysfunction in maintenance hemodialys...

Artificial Intelligence Diagnosis of Obstructive Sleep Apnea Using Overnight Pulse Oximetry: A Systematic Review and Bayesian Meta-Analysis.

BACKGROUND: Obstructive sleep apnea (OSA) affects 38% of the population, yet over 90% of cases remain undiagnosed. The gold standard for diagnosis, po...

Mindfulness and artificial intelligence self-efficacy among university students: the mediating role of artificial intelligence literacy.

University students now use artificial intelligence (AI) tools in several academic activities, including information retrieval, writing support, and p...

Identification and verification of immunogenic cell death-related signatures derived from bone metastasis of prostate cancer based on multi-omics and machine learning algorithms.

BACKGROUND: Prostate cancer (PCa) is a prevalent urological malignancy in men, with bone metastasis occurring in the majority of patients, often leadi...

Evaluation of a sleep sound analysis smartphone app for home obstructive sleep apnea screening among community-dwelling Chinese adults with hypertension.

PURPOSE: This study aimed to evaluate the validity and feasibility of home obstructive sleep apnea screening using a sleep sound analysis smartphone a...