Surveys

Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment.

BACKGROUND: The integration of artificial intelligence (AI) holds substantial potential to alter dia...

User Intent to Use DeepSeek for Health Care Purposes and Their Trust in the Large Language Model: Multinational Survey Study.

BACKGROUND: Generative artificial intelligence (AI)-particularly large language models (LLMs)-has ge...

Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.

OBJECTIVES: The aim of this study was to compare the performances of residents and ChatGPT in answer...

Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.

BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare...

Context-aware data augmentation for enhanced speech command recognition in industrial environments.

In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel....

High-quality full stokes polarimetric spectroscopy reconstruction using a model-compensated physics-informed neural network for channeled spectropolarimetry.

Channeled spectropolarimetry (CSP) enables the simultaneous acquisition of full Stokes parameters sp...

AdapTree: Data-Driven Approach to Assessing Plant Stress Through the AI-Sensor Synergy.

This study investigates plant stress assessment by integrating advanced sensor technologies and Arti...

Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients.

Identifying patients suitable for conversion therapy through early non-invasive screening is crucial...

Emergent social conventions and collective bias in LLM populations.

Social conventions are the backbone of social coordination, shaping how individuals form a group. As...

Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy Analytic Network Process.

In the past decade, extended reality (XR) has been introduced into healthcare due to several potenti...

Early Detection of Fetal Health Conditions Using Machine Learning for Classifying Imbalanced Cardiotocographic Data.

Cardiotocography (CTG) is widely used in obstetrics to monitor fetal heart rate and uterine contrac...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

The rise of artificial intelligence (AI) in medical care presents several opportunities, including i...

A Natural and Unobtrusive Conversation Using a RASA-Driven Chatbot for Monitoring the Wellbeing of Elderlies.

This paper investigates the development and evaluation of a chatbot for administering the EQ5D quest...

Large Language Model-Assisted Systematic Review: Validation Based on Cochrane Review Data.

Large Language Models (LLMs) offer potential for automating systematic reviews, a labor-intensive pr...

Assessing the Potential of an LLM-Powered System for Enhancing FHIR Resource Validation.

Large Language Models (LLMs) have gained significant popularity among healthcare professionals as to...

Automated and AI-Based Communication in the GP Practice as a Replacement for Personal Doctor-Patient Contact - A Patient Survey on Acceptance.

BACKGROUND/AIM: The study examines patient acceptance of automated and AI-based communication as a r...

Bias Detection in Histology Images Using Explainable AI and Image Darkness Assessment.

The study underscores the importance of addressing biases in medical AI models to improve fairness, ...

Prediction and Stage Classification of Pressure Ulcers in Intensive Care Patients by Machine Learning.

Pressure ulcers are a serious clinical problem associated with high morbidity, mortality and health...

Estimating PM Exposures and Cardiovascular Disease Risks in the Yangtze River Delta Region Using a Spatiotemporal Convolutional Approach to Fill Gaps in Satellite Data.

Accurate estimation of ambient PM concentrations is crucial for assessing air quality and health ris...

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists.

BACKGROUND/OBJECTIVES: This study explored the views of dermatologists in Australia on the use of Ar...

From data to perception: visualizing bias in artificial intelligence-generated images.