Surveys

Community Health Nurses' Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey.

BACKGROUND: Artificial intelligence (AI) continues to expand into nursing and health care. Many examples of AI applications driven by machine or deep learning are in use. Examples include wearable devices or alerts for risk prediction. AI tends to be promoted by nonnurses, creating a risk that AI is not designed to best serve registered nurses. Community health nurses (CHNs) are a small but essent...

Diagnostic Performance of Preoperative Imaging-based Radiomics Models for Predicting Liver Metastases in Colorectal Cancer: A Systematic Review and Meta-analysis.

RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of preoperative computed tomography (CT) and magnetic resonance imaging (MRI)-based radiomics models in detecting liver metastases in patients with colorectal cancer (CRC). MATERIALS AND METHODS: Following PRISMA 2020 guidelines, we systematically searched major databases up to July 2025. Study selection, data extraction, and quality...

Managing Conflict of Interest in Clinical Practice Guidelines With Artificial Intelligence: Insights From Large Language Models and Beyond.

BACKGROUND: Conflict of interest (COI) management is critical for ensuring the scientific integrity and fairness of clinical practice guidelines (CPGs...

Awareness, trust, and expectations of AI for glaucoma care among Bulgarian ophthalmologists: Role of demographic factors.

Artificial intelligence (AI) holds promise for enhancing glaucoma screening and management, yet its adoption depends on clinician perceptions, particu...

The impact of maladaptive perfectionism on AI dependence among college students: The mediating role of self-control and the moderating role of academic engagement.

With the rapid proliferation of generative artificial intelligence (GenAI), increasing scholarly attention has been directed toward college students' ...

Risk prediction models for detecting a new diagnosis of heart failure within 5 years in the community: a systematic review.

OBJECTIVES: Earlier heart failure (HF) diagnosis in the community could allow timely treatment initiation and prevent unnecessary hospitalisation, but...

Patient perceptions and attitudes towards the use of artificial intelligence in the symptomatic breast unit.

OBJECTIVES: Artificial intelligence (AI) has been applied in a number of breast screening settings with favourable results. While there are a limited ...

Knowledge and awareness of dental residents regarding the applications of artificial intelligence for diagnosis and treatment planning- a cross-sectional survey.

BACKGROUND: With the high pace of development in technology worldwide, Artificial intelligence (AI) has given a new horizon to the world of medicine a...

VHU-Net: Variational hadamard U-Net for body MRI bias field correction.

Bias field artifacts in magnetic resonance imaging (MRI) scans introduce spatially smooth intensity inhomogeneities that degrade image quality and hin...

The role of artificial intelligence in obstetrics and gynecology: Innovations, challenges, and opportunities explored through a bibliometric analysis.

OBJECTIVE: Artificial intelligence (AI) applications have garnered increasing interest in obstetrics and gynecology. This study aims to analyze the ev...

Integrating Artificial Intelligence in Nursing Practice With Decubitus Risk Prediction Alerts: A Pilot Process Evaluation.

AIMS: To evaluate the acceptability and feasibility among nurses of Decubitus Risk Prediction Alerts based on Artificial Intelligence (DRAAI), and to ...

Mapping Algorithmic Bias in AI-Powered Electrocardiogram Interpretation Across the AI Life Cycle: Protocol for a Scoping Review.

BACKGROUND: Artificial intelligence (AI)-powered analysis of electrocardiograms (ECGs) is reshaping cardiac diagnostics, offering faster and often mor...

A machine learning model to predict the severity of road traffic injury based on aberrant driving behaviors and driver characteristics.

OBJECTIVES: Road traffic injuries remain a leading cause of mortality and disability worldwide, especially in low- and middle-income countries. This s...

Noise in the diagnosis of epilepsy by experts.

OBJECTIVE: To measure the relative levels of signal and noise in expert diagnosis of epilepsy. METHODS: Twenty multinational epileptologists independe...

Digital maternity care in Germany: a cross-sectional web-based survey on midwives' perceptions.

PURPOSE: Maternity care is a central component of any healthcare system and is largely provided by midwives. Considering increasing cost pressures and...

Artificial Intelligence Competencies and Educational Needs Among ERNICA Members: Results of a Multinational Survey.

INTRODUCTION: Artificial Intelligence (AI) is increasingly recognized as a transformative force in healthcare. In the field of rare diseases, AI can e...

A Streamlined 4-item Wolf Motor Function Test for Efficient Assessment of Upper Extremity Motor Function in Chronic Stroke Survivors.

BackgroundThe Wolf Motor Function Test (WMFT) is a well-recognized measure for assessing upper extremity motor function in stroke rehabilitation. Howe...

Developing a trustworthy and explainable framework for classifying skin lesions through transfer learning and attention mechanisms.

Detection of high precision skin lesions, especially melanoma, are still a major challenge in medical imagination due to their close visual equality a...

Quality and Reliability of AI Information on Dental Implant Failure: A Comparative Multi-Model Analysis.

OBJECTIVE: This study aimed to develop a consensus-based set of patient questions on dental implant failure and to compare the clarity, quality, accur...

Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study.

BACKGROUND: Effective communication is fundamental to health care; however, demographic transitions and a widening global health workforce gap are int...