Surveys

Development and evaluation of an automated classification and counting system for rice planthoppers captured on survey boards.

Rice planthoppers are the most economically important insect pests of rice in Asia. Traditional surveys to examine their abundance and composition in paddy fields involve human visual inspection, which requires considerable time and effort by expert entomologists. We previously developed a deep learning-based object detection system which can detect rice planthopper individuals from scanned images...

Validity and reliability of the Chinese translation of the attitude scale towards the use of artificial intelligence technologies in nursing (ASUAITIN)- a cross-sectional study.

AIM: This study aimed to test the psychometric properties of the Attitudes Toward Artificial Intelligence in Nursing Scale (ASUAITIN) in Chinese culture.

Mapping the EORTC QLQ-C30 and QLQ-LC13 to the SF-6D utility index in patients with lung cancer using machine learning and traditional regression methods.

BACKGROUND: Preference-based measures of health-related quality of life (HRQoL), such as the Short Form Six-Dimension (SF-6D) is essential for health ...

The General Attitudes towards Artificial Intelligence Scale (GAAIS): validation and psychometric properties analysis in the Italian context.

This two-study investigation aimed to assess the psychometric properties of the Italian version of the General Attitudes towards Artificial Intelligen...

Implicit bias in ICU electronic health record data: measurement frequencies and missing data rates of clinical variables.

BACKGROUND: Systematic disparities in data collection within electronic health records (EHRs), defined as non-random patterns in the measurement and r...

Broadscale reconnaissance of coral reefs from citizen science and deep learning.

Coral reef managers require various forms of data. While monitoring is typically the preserve of scientists, there is an increasing need to collect la...

Increasing Rigour in Online Health Surveys Through the Reduction of Fraudulent Data.

Online surveys have become a key tool of modern health research, offering a fast, cost-effective, and convenient means of data collection. It enables ...

CMOS LIF Neurons with Local Membrane Dynamic Biasing Based on Reciprocal Inhibition for Self-Oscillatory Neural Networks.

This paper presents a CMOS-based neuron network that can emulate self-oscillatory biasing behaviors found in biological neural oscillator models. Base...

Forewarning Artificial Intelligence about Cognitive Biases.

Artificial intelligence models display human-like cognitive biases when generating medical recommendations. We tested whether an explicit forewarning,...

Large Language Model-Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study.

BACKGROUND: The revised Risk-of-Bias tool (RoB2) overcomes the limitations of its predecessor but introduces new implementation challenges. Studies de...

Systematic review of generative adversarial networks (GANs) in cell microscopy: Trends, practices, and impact on image augmentation.

Cell microscopy is the main tool that allows researchers to study microorganisms and plays a key role in observing and understanding the morphology, i...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of artificial intelligence (AI) in medical questionna...

Large Language Model Clinical Vignettes and Multiple-Choice Questions for Postgraduate Medical Education.

ProblemClinical vignette-based multiple-choice questions (MCQs) have been used to assess postgraduate medical trainees but require substantial time an...

Empowering EFL teachers' perceptions of generative AI-mediated self-professionalism.

This study intends to empower English as a Foreign Language (EFL) teachers' perceptions of generative artificial intelligence (AI)-mediated self-profe...

A Case Study for Visual Detection of a Systemic Disease: Optimizing Identification of Phony Peach Disease Based on Statistical and Machine Learning Models.

Phony peach disease (PPD), caused by subsp. (Xfm), poses a significant threat to commercial peach orchards in Georgia. Early and accurate detection ...

Understanding stress-induced illegitimate aggression: the role of physiological and psychological factors in police cadets.

To better understand the consequences of stress in realistic scenarios, police cadets were tasked with performing a police intervention under differin...

World of ScoreCraft: Novel Multi-Scorer Experiment on the Impact of a Decision Support System in Sleep Staging.

Manual scoring of polysomnography (PSG) is a time-intensive task, prone to inter-scorer variability that can impact diagnostic reliability. This study...

Understanding and acceptance of open, laparoscopic, and robotic surgery among nursing students: implications for educational curricula based on a mixed-methods study.

This study aimed to assess university nursing students' knowledge and perceptions of open, laparoscopic, and robotic surgery applications. A simultane...

Redefining Mentorship in Medical Education with Artificial Intelligence: A Delphi Study on the Feasibility and Implications.

In the dynamically evolving field of medicine, mentorship is crucial for educating students, and Artificial Intelligence (AI) potentially revolutioniz...

Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.

Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, making it a strong candidate for a neurophysiologic...