Surveys

Can large language models generate exam questions comparable to humans? A systematic review and meta-analysis study in medical education.

INTRODUCTION: Recently developed artificial intelligence (AI), particularly large language models (LLMs), e.g. GPT, streamline the development of multiple-choice questions (MCQs); however, concerns remain about psychometric quality, fairness across learner groups, and potential bias. METHODS: Following PRISMA 2020, we searched PubMed, Google Scholar, Web of Science, and the Cochrane Library for st...

Machine and deep learning in facial expression recognition: a survey based on facial action units.

Facial Expression Recognition (FER) has become increasingly relevant in engineering applications spanning security, healthcare, human-robot interaction, and intelligent systems. Accurate recognition of emotional states through facial cues is particularly important for enabling autonomous systems to interpret human intent in dynamic environments. This study presents a survey of recent advances in F...

Contribution of resting pulse rate to fall risk prediction in patients with glaucoma: a nationwide retrospective study based on an XGBoost model.

BACKGROUND: Falls are among the most common safety concerns in people with visual impairment and can lead to serious consequences, including fractures...

Single-cell and multi-omics integration delineates the landscape of gene-wise intratumor heterogeneity and identifies prognostic biomarkers for immunotherapy in non-small cell lung cancer.

BACKGROUND: Gene-wise intratumor heterogeneity (ITH), defined as spatial variability in the expression of individual genes across tumor regions, remai...

Increasing the Reliability of Functional Connectivity by Predicting Long-Scan Functional Connectivity based on Short-Scan Functional Connectivity: Model Exploration, Explanation, Validation, and Application.

Functional connectivity (FC) is a widely used metric in functional magnetic resonance imaging (fMRI) research. However, its reliability has long been ...

How does AI literacy empower decision-making quality? The mediating role of employee-AI collaboration and the moderating role of AI trust.

This study explored the relationship between Artificial Intelligence (AI) literacy and decision-making quality, with employee-AI collaboration serving...

Validation of aortic valve calcification quantification on contrast-enhanced computed tomography against ex vivo gravimetric analysis: comparison of fixed Hounsfield unit thresholds and deep learning segmentation.

BACKGROUND: Accurate quantification of aortic valve calcification (AVC) on contrast-enhanced computed tomography angiography (CTA) is pivotal for plan...

A reproducible statistical evaluation framework for large-sample assessment of AI-generated medical references: cross-platform application of the reference hallucination score.

OBJECTIVE: To quantitatively evaluate the bibliographic reliability of AI-generated medical references across multiple chatbot platforms using the Ref...

Barriers and enablers for publishing results of randomized trials: a cross-sectional survey of principal investigators in sub-Saharan Africa.

OBJECTIVES: To investigate the views and experiences of principal investigators (PIs) based in sub-Saharan Africa (SSA) regarding publication bias of ...

Evaluation of ChatGPT, Gemini, and OpenEvidence in Obstetric and Gynecologic Clinical Decision Scenarios.

Background Clinicians frequently face questions that require rapid, evidence-based answers. Artificial intelligence (AI) tools are increasingly used f...

Machine learning for scalable obstructive sleep apnea risk screening using digital phenotyping from wearable devices and clinical scales.

Obstructive sleep apnea (OSA) is common yet frequently underdiagnosed, partly because overnight polysomnography (PSG) is logistically burdensome and a...

Attention guided fair artificial intelligence modeling for skin cancer diagnosis.

Artificial intelligence (AI) has shown promise in dermatology, offering accurate and non-invasive diagnosis of skin cancer. While extensive research h...

Cross-cultural adaptation and psychometric evaluation of the artificial intelligence learning intention scale (AILIS) among medical sciences students: a methodological study.

BACKGROUND: This study aimed to adapt and psychometrically evaluate the Artificial Intelligence Learning Intention Scale (AILIS) among Iranian medical...

Health literacy, medication adherence, and quality-of-life scores in Jordanian adults with chronic diseases: a dual analytical study using the long-term conditions questionnaire and the EuroQol five-dimension three-level questionnaire.

AIMS: This study examined the association of health literacy with quality-of-life outcomes among Jordanian adults with chronic diseases using two pati...

Attitudes toward artificial intelligence: their association with creative self-efficacy and problem-solving ability in nursing interns.

BACKGROUND: To determine the levels of attitudes toward artificial intelligence(AI), creative self-efficacy, and problem-solving ability among nursing...

Comparative predictive accuracy of machine learning versus traditional statistical methods for diabetes-related complications: A systematic review and analysis.

AIMS: To compare the predictive accuracy of machine learning models versus traditional statistical models for predicting and detecting long-term compl...

Artificial intelligence chain-of-thought reasoning in nuanced medical scenarios: mitigation of cognitive biases through model intransigence.

BACKGROUND: Artificial intelligence large language models (LLMs) are increasingly used to inform clinical decisions but sometimes exhibit human-like c...

Prognostic prediction models for psoriatic arthritis in psoriasis: A systematic review.

BACKGROUND: Psoriatic arthritis is a chronic inflammatory arthropathy that affects up to 22% of individuals with psoriasis. Identifying patients at hi...

Scoring employment interviews with large language models: Evaluation design components, validity investigations, and best practice recommendations.

Recently, supervised machine learning models served as alternatives to humans for scoring open-ended assessments, including employment interviews. Mor...

Health-Related Quality of Life and Family Impact Among Children with Epilepsy: The Role of Seizure Control.

INTRODUCTION: Seizure control is the primary therapeutic goal in pediatric epilepsy, yet its multidimensional impact on health-related quality of life...