Latest AI and machine learning research in surveys for healthcare professionals.
OBJECTIVE: This study assessed the knowledge levels of classroom teachers concerning students with hearing loss (HL) and hearing aids (HAs) and examined the complex interrelationships between this knowledge, their inclusive classroom behaviors, and their attitudes. METHOD: A descriptive survey model was employed with a sample of 200 classroom teachers from diverse urban, rural, public, and private...
Empirical evidence has demonstrated the power of AI to influence human decisions and the risk of humans acquiring AI biases. Therefore, there is a clear need to develop strategies to mitigate such threat. In three experiments, set in a medical context, we tested whether warning individuals about AI biases and errors could mitigate the negative impact of AI biases on their decisions and reduce the ...
BACKGROUND: Pyrimidine metabolism plays a crucial role in DNA synthesis and cell proliferation and is associated with the development of various cance...
BACKGROUND: The stress caused by multiple aspects of veterans' transitions from military to civilian, termed transition stress, represents a unique so...
BACKGROUND: Repeated-measures datasets are common in biomechanics and digital health, where each participant contributes multiple correlated trials. I...
Simulating the response of granular materials under realistic loading scenarios is essential for ensuring the reliability of geotechnical infrastructu...
BACKGROUND: Artificial intelligence (AI) is increasingly integrated into dental diagnostics and education, including AI-assisted radiograph interpreta...
BACKGROUND: Cataracts are an eye condition characterized by high prevalence and blindness-inducing potential, and effective approaches are required fo...
Pruning is a highly effective method for reducing the size of neural networks with negligible impact on their average performance. However, recent stu...
Ensuring the reliability of critical infrastructure systems is essential for industrial and agricultural sustainability. This study focuses on analyzi...
Human-annotated data is foundational for supervised machine learning (ML). Low inter-rater reliability often introduces noise that degrades model perf...
Perceptions of ageing is an important psychosocial factor that influences health, wellbeing as well as engagement in health- promoting behaviours as p...
During long-term operation, turbofan engine sensors often suffer from partial damage or signal loss caused by complex flight environments, harsh mecha...
BACKGROUND: The illegal addition of febuxostat (FEB) to functional foods poses a significant food safety risk and calls for rapid and reliable analyti...
BACKGROUND AND AIMS: Health researchers often struggle with challenges such as translating complex texts, interpreting nuanced information, conducting...
Deep learning for cross-subject EEG decoding is hindered by the high degree of inter-subject variability, which creates a severe domain shift between ...
PURPOSE: Patients with obstructive sleep apnea (OSA) frequently seek information online, yet the comparative quality of content delivered by web searc...
BACKGROUND: Social media use has become pervasive among university students worldwide, with growing evidence linking excessive use to negative psychol...
Bloodstain Pattern Analysis (BPA) is a technique used in forensic investigations to recreate violent crime scenes by examining the distribution of blo...
OBJECTIVES: This study aimed to develop and evaluate a confidence-aware transformer-based super-resolution framework, termed CAT-PRSR, to enhance imag...