Surveys

Neural correlates of evaluative bias against AI-labeled versus human-labeled artworks.

The rapid advancement of generative artificial intelligence (AI) has enabled machines to produce cre...

Event-based Stereo Depth Estimation: A Survey.

Stereopsis has widespread appeal in computer vision and robotics as it is the predominant way by whi...

Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease.

BACKGROUND: Interest in technologies for quantitative assessment of Parkinson's disease (PD) is grow...

Benchmarking bias in embeddings of healthcare AI models: using SD-WEAT for detection and measurement across sensitive populations.

Bias in vital signs? Machine learning models can learn patients' race or ethnicity from the values of vital signs alone.

OBJECTIVES: To investigate whether machine learning (ML) algorithms can learn racial or ethnic infor...

Use of artificial intelligence to prevent aggressions against health professionals.

The alarming rise in assaults against healthcare professionals is a public health and occupational i...

Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qualitative study of healthcare professionals' perspectives in the UK.

Multi-stakeholder perspective on responsible artificial intelligence and acceptability in education.

Recognising a need to investigate the concerns and barriers to the acceptance of artificial intellig...

A simple interpolation-based data augmentation method for implicit sentiment identification.

Implicit sentiment identification tasks occupy an important place in the field of natural language p...

Investigating the Potential of Generative AI Clinical Case-Based Simulations on Radiography Education: A Pilot Study.

Education for medical imaging technologists or radiographers in regional and rural areas often faces...

Perceptions of Special Education Professionals in the Kingdom of Saudi Arabia Regarding the Integration of Artificial Intelligence in Diagnosing Autism Spectrum Disorder.

Autism spectrum disorder (ASD) diagnosis often presents challenges due to its complexity and relianc...

Unveiling Bias in Distilled Artificial Intelligence Models: Ethical and Clinical Impacts on Decision-Making and Medical Auditing.

AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data.

Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliabi...

A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology.

Artificial intelligence (AI) and machine learning (ML) are transforming nephrology by enhancing diag...

eyeNotate: Interactive Annotation of Mobile Eye Tracking Data Based on Few-Shot Image Classification.

Mobile eye tracking is an important tool in psychology and human-centered interaction design for und...

Reply to the Letter to the Editor: Navigating bias in machine learning-reevaluating feature importances through robust statistical analysis.

Deep learning based time-dependent reliability analysis of an underactuated lower-limb robot exoskeleton for gait rehabilitation.

This study evaluates the reliability of an underactuated wearable lower-limb exoskeleton designed to...

Understanding the determinants of treated bed net use in Ethiopia: A machine learning classification approach using PMA Ethiopia 2023 survey data.

INTRODUCTION: Malaria remains a significant public health challenge in Ethiopia, with over 7.3 milli...

Employing machine learning for early detection of poly-victimization in rural children: a survey study in China's Chaoshan region.

BACKGROUND: Poly-victimization (PV), encompassing multiple forms of victimization including physical...

Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator.

The modernization of Chinese higher education relies heavily on fostering innovative work behavior (...

The Impact of Machine Learning Mortality Risk Prediction on Clinician Prognostic Accuracy and Decision Support: A Randomized Vignette Study.

BackgroundMachine learning (ML) algorithms may improve the prognosis for serious illnesses such as c...