Latest AI and machine learning research in surveys for healthcare professionals.
BACKGROUND: Driven by recent advances in artificial intelligence (AI), particularly in medicine, audio-based voice and speech biomarkers are increasingly investigated for various medical applications as a complementary or even alternative modality to traditional medical devices. The adoption of deep learning techniques in recent literature is motivated by their superior performance compared to cla...
Ensuring defensible policy inferences and robust decision reliability is fundamental for multi-criteria decision-making activities, particularly in transport safety engineering. This study developed a hybrid preference function-nested and machine learning-embedded decision model, i.e., EXPROM II-K-means with a linear discriminant analysis, to provide a robust support system for policy setting and ...
In clinical research, bias is a systematic error that creates a difference between observed and true values. The increasing use of large datasets and ...
Artificial intelligence (AI) is being increasingly applied in higher education. This has given rise to the issue that, within the published literature...
INTRODUCTION: The assessment of vestibular schwannomas (VS) requires a standardized approach as growth is a key element in defining treatment strategy...
Autism Spectrum Disorder (ASD) screening often relies on structured questionnaires. Yet these data are not always easy to interpret or use in practice...
PURPOSE OF THE REVIEW: This review aims to address the unique challenges in nonoperating room anesthesia (NORA) locations, emphasizing the importance ...
BACKGROUND: Advances in AI have introduced new opportunities in nursing education. Vignette-based item sets are valuable for evaluating clinical reaso...
The increasing adoption of machine learning and artificial intelligence in surgical risk prediction has introduced new challenges related to the fairn...
BackgroundWith the growing integration of artificial intelligence (AI) tools like ChatGPT in education, it is essential to understand how nursing stud...
Precise control over the configurational changes of molecules adsorbed on metal surfaces is critical for advancing molecular-scale technologies, inclu...
BACKGROUND: Artificial intelligence (AI) applied to magnetic resonance imaging (MRI) may improve detection of cervical lymph node metastases in oral s...
BACKGROUND: Acne is a chronic skin condition that primarily affects adolescents and young adults but can persist into adulthood. It can have repercuss...
BACKGROUND: Machine learning is increasingly used to develop prognostic prediction models for spinal cord injury. Nevertheless, current studies exhibi...
UNLABELLED: To systematically evaluate the accuracy, reliability, and clinical applicability of artificial intelligence and large language models (LLM...
BACKGROUND: Integrating artificial intelligence (AI) technologies into nursing practice is expanding rapidly, yet validated instruments to assess nurs...
BACKGROUND: The use of generative artificial intelligence (AI) by pharmaceutical companies and other organizations for preparing patient-facing docume...
Electrical Submersible Pumps (ESPs) are widely used in oil and gas production but are highly vulnerable to mechanical, electrical, hydraulic, and ther...
To address the dilemma of homogeneous talent training and the efficiency bottleneck of human resource management in universities, this study proposes ...
BACKGROUND: To assess patient trust in AI-generated medication information, examine associated behavioral safety risks, and evaluate patient expectati...