Surveys

Utilization and perception of generative artificial intelligence by medical students in residency applications.

After completing medical school in the United States, most students apply to residency programs to p...

Identifying Patient-Reported Care Experiences in Free-Text Survey Comments: Topic Modeling Study.

BACKGROUND: Patient-reported experience surveys allow administrators, clinicians, and researchers to...

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging.

Accurate staging of liver fibrosis from magnetic resonance imaging (MRI) is crucial in clinical prac...

A machine learning approach to feature selection and uncertainty analysis for biogas production in wastewater treatment plants.

The growing demand for efficient waste management solutions and renewable energy sources has driven ...

Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study.

Despite excitement around artificial intelligence (AI)-based tools in health care, there is work to ...

AI in medical diagnosis: A contextualised study of patient motivations and concerns.

Patients' reactions to the implementation of Artificial Intelligence (AI) in healthcare range from a...

Exploring the capabilities of GenAI for oral cancer consultations in remote consultations : Author.

BACKGROUND: Generative artificial intelligence (GenAI) has demonstrated potential in remote consulta...

Optimized machine learning framework for cardiovascular disease diagnosis: a novel ethical perspective.

Alignment of advanced cutting-edge technologies such as Artificial Intelligence (AI) has emerged as ...

Reliability of noninvasive hyperspectral tongue diagnosis for menstrual diseases using machine learning method.

The outward appearance of human tongue can reflect changes in blood circulation caused by pathologic...

Equity in Radiology Research Is Essential for Improving Diversity and Inclusivity in Clinical Data, Reducing Bias and Increasing Artificial Intelligence Accuracy.

Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII.

OBJECTIVES: To investigate the intra- and inter-rater reliability of the total methodological radiom...

Diagnosis of Acute Appendicitis with Machine Learning-Based Computer Tomography: Diagnostic Reliability and Role in Clinical Management.

Acute appendicitis (AA) is a common surgical emergency affecting 7-8% of the population. Timely dia...

LSTM and ResNet18 for optimized ambulance routing and traffic signal control in emergency situations.

Traffic congestion, particularly in rapidly expanding urban centers, significantly impacts the timel...

Research on key factors influencing Chinese designers' use of AIGC: An extension based on TAM and TRI.

With the rapid development of AI intelligent technology, AIGC can bring an innovative revolution to ...

A simple clustering approach to map the human brain's cortical semantic network organization during task.

Constructing task-state large-scale brain networks can enhance our understanding of the organization...

A systematic literature review of machine learning techniques for the detection of attention-deficit/hyperactivity disorder using MRI and/or EEG data.

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental condition common in teenager...

Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.

Artificial Intelligence (AI) driven documentation systems are positioned to enhance documentation ef...

Using artificial intelligence tools for data quality evaluation in the context of microplastic human health risk assessments.

Concerns about the negative impacts of microplastics on human health are increasing in society, whil...

Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues.

: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diab...

Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer.

Heart Rate Variability (HRV) serves as a vital marker of stress levels, with lower HRV indicating hi...

An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.

Auscultation is a method that involves listening to sounds from the patient's body, mainly using a s...